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20231207.zip

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20231221.zip

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20240115.zip

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20240124.zip

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20240207.zip

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20240215.zip

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README.md

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 ---
-license: cc-by-nd-4.0
+license: cc-by-nc-4.0
+tags:
+- root cause analysis
+- microservice system
+- multi-modal learning
+- time series analysis
+- log analysis
+pretty_name: Cloud Computing Data
+size_categories:
+- 100M<n<1B
+task_categories:
+- time-series-forecasting
 ---
 
-Both system metrics (json format) and log data (json format) were collected from Cloud Computing Platform with hundreds of system entities invovled. 
+## Data Description:
 
-Six different types of real faults (including cryptojacking, silent pod degradation fault, malware attack, mistakes made by GitOps, configuration change failure, and bug infection) were simulated.
+Both system metrics (json format) and log data (json format) were collected from Cloud Computing Platform with hundreds of system entities invovled. Six different types of real faults (including cryptojacking, silent pod degradation fault, malware attack, mistakes made by GitOps, configuration change failure, and bug infection) were simulated. 
+
+## Citation:
+
+Lecheng Zheng, Zhengzhang Chen, Dongjie Wang, Chengyuan Deng, Reon Matsuoka, and Haifeng Chen: LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. CoRR abs/2406.05375 (2024)
+
+
+## License:
+
+cc-by-nd-4.0: NoDerivatives.