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New LEMMA-RCA dataset aims to advance root cause analysis in complex systems

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced LEMMA-RCA, a large-scale, open-source dataset designed to advance root cause analysis (RCA) in complex systems. The dataset encompasses diverse fault scenarios from both Information Technology (IT) and Operational Technology (OT) domains, including microservices, water distribution, and water treatment systems. LEMMA-RCA aims to facilitate standardized evaluation and encourage the development of more robust RCA techniques by providing a common ground for testing various models across different settings. AI

IMPACT This dataset could accelerate the development of more effective AI-driven root cause analysis tools for critical infrastructure and IT systems.

RANK_REASON The cluster describes a new academic dataset released on arXiv for AI research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New LEMMA-RCA dataset aims to advance root cause analysis in complex systems

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The cluster describes a new academic dataset released on arXiv for AI research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, Haifeng Chen ·

    LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

    arXiv:2406.05375v4 Announce Type: replace 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 bridg…

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