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@@ -47,7 +47,7 @@ Reveal captures low-level hardware and operating system metrics—fully accessib
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  ## Uses
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- ### Direct Use
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  Reveal can be used for:
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  - Research on **unsupervised anomaly detection** in system telemetry
@@ -56,12 +56,12 @@ Reveal can be used for:
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  - Developing **performance-aware ML infrastructure tools**
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  - Training or benchmarking anomaly detection models for **AIOps** and **ML system health monitoring**
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- ### Out-of-Scope Use
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  The dataset **should not** be used for:
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  - Inferring or reconstructing user workloads or model behavior
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  - Benchmarking end-user application performance
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- - Any use involving personal, confidential, or proprietary data reconstruction
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  ---
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  ## Uses
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+ ### Recommended Use
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  Reveal can be used for:
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  - Research on **unsupervised anomaly detection** in system telemetry
 
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  - Developing **performance-aware ML infrastructure tools**
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  - Training or benchmarking anomaly detection models for **AIOps** and **ML system health monitoring**
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+ <!-- ### Out-of-Scope Use
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  The dataset **should not** be used for:
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  - Inferring or reconstructing user workloads or model behavior
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  - Benchmarking end-user application performance
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+ - Any use involving personal, confidential, or proprietary data reconstruction -->
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  ---
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