LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis
Keywords: root cause analysis, multi-modal learning, microservice systems, benchmark data
Abstract: 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 Information Technology (IT) and Operational Technology (OT), encompassing microservices, water distribution, and water treatment systems, with hundreds of system entities involved. We evaluate the performance of fourteen baseline methods on LEMMA-RCA across various settings, including offline and online modes, as well as single and multi-modal configurations The dataset is publicly available at https://lemma-rca.github.io/.
Primary Area: datasets and benchmarks
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Submission Number: 7917
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