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English(EN) LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

新的LEMMA-RCA数据集旨在推进复杂系统的根因分析

研究人员推出LEMMA-RCA,这是一个大规模、开源的数据集,旨在推进复杂系统的根因分析(RCA)。该数据集涵盖了信息技术(IT)和运营技术(OT)领域的各种故障场景,包括微服务、供水和水处理系统。LEMMA-RCA旨在通过提供一个通用平台来测试不同环境下的各种模型,从而促进标准化评估并鼓励开发更强大的RCA技术。 AI

影响 该数据集有望加速开发更有效的、由AI驱动的关键基础设施和IT系统的根因分析工具。

排序理由 该集群描述了在arXiv上发布的一个用于AI研究的新学术数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的LEMMA-RCA数据集旨在推进复杂系统的根因分析

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该集群描述了在arXiv上发布的一个用于AI研究的新学术数据集。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

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

    LEMMA-RCA:用于根因分析的大规模多模态多领域数据集

    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…