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@@ -46,7 +46,7 @@ A large-scale, labeled cybersecurity dataset derived from production Security Op
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  **Available in two sizes:**
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  - [`witfoo/precinct6-cybersecurity`](https://huggingface.co/datasets/witfoo/precinct6-cybersecurity) — 2M signals (this dataset)
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- - [`witfoo/precinct6-cybersecurity-100m`](https://huggingface.co/datasets/witfoo/precinct6-cybersecurity-100m) — 84M signals (same methodology, larger extraction)
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  **Generate your own:** WitFoo Precinct 6.x customers can create datasets from their own data using the open-source pipeline: [`witfoo/dataset-from-precinct6`](https://github.com/witfoo/dataset-from-precinct6)
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@@ -327,13 +327,13 @@ Labels are derived from two sources: WitFoo Precinct's incident analysis and lea
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  | `malicious` | 125,780 | 6.1% |
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  | `suspicious` | 45,420 | 2.2% |
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- **84M Dataset (`witfoo/precinct6-cybersecurity-100m`):**
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  | Label | Count | Percentage |
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  |-------|-------|------------|
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- | `benign` | 83,976,018 | 99.77% |
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- | `malicious` | 125,780 | 0.15% |
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- | `suspicious` | 68,920 | 0.08% |
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  The imbalanced distribution reflects the reality of production SOC environments where the vast majority of events are benign, consistent with published IDS datasets (DARPA TC, LANL).
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@@ -492,7 +492,7 @@ This dataset was produced in collaboration with the University of Canterbury (Ne
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  - **Organization diversity**: Data from 5 organizations, each with different security tool deployments
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  - **Sanitization trade-offs**: Some log message detail is reduced by PII replacement, particularly in free-text fields
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  - **Label derivation**: Labels depend on WitFoo's automated detection and 261 rules; some attacks may be unlabeled (false negatives) and some benign events may be incorrectly flagged
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- - **Incident coverage**: The same 10,442 incidents appear in both the 2M and 84M datasets since incidents are stored separately from signal data
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  ## Ethical Considerations
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  **Available in two sizes:**
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  - [`witfoo/precinct6-cybersecurity`](https://huggingface.co/datasets/witfoo/precinct6-cybersecurity) — 2M signals (this dataset)
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+ - [`witfoo/precinct6-cybersecurity-100m`](https://huggingface.co/datasets/witfoo/precinct6-cybersecurity-100m) — 114M signals (same methodology, larger extraction)
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  **Generate your own:** WitFoo Precinct 6.x customers can create datasets from their own data using the open-source pipeline: [`witfoo/dataset-from-precinct6`](https://github.com/witfoo/dataset-from-precinct6)
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  | `malicious` | 125,780 | 6.1% |
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  | `suspicious` | 45,420 | 2.2% |
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+ **114M Dataset (`witfoo/precinct6-cybersecurity-100m`):**
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  | Label | Count | Percentage |
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  |-------|-------|------------|
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+ | `benign` | 113,326,050 | 99.34% |
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+ | `malicious` | 125,780 | 0.11% |
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+ | `suspicious` | 622,700 | 0.55% |
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  The imbalanced distribution reflects the reality of production SOC environments where the vast majority of events are benign, consistent with published IDS datasets (DARPA TC, LANL).
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  - **Organization diversity**: Data from 5 organizations, each with different security tool deployments
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  - **Sanitization trade-offs**: Some log message detail is reduced by PII replacement, particularly in free-text fields
494
  - **Label derivation**: Labels depend on WitFoo's automated detection and 261 rules; some attacks may be unlabeled (false negatives) and some benign events may be incorrectly flagged
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+ - **Incident coverage**: The same 10,442 incidents appear in both the 2M and 114M datasets since incidents are stored separately from signal data
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  ## Ethical Considerations
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