MOBIUSI INCCovers on-call alert escalation chains, acknowledgment timeouts, responder rotation changes, and duplicate-escalation controls, with related source code samples, human annotations, and failure causes. The dataset provides parsed escalation policies and verifiable correctness results to help detect missed notifications, incorrect escalations, and infinite escalation loops. It supports code verification, policy debugging, and root-cause analysis for enterprise notification platforms.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| raw_alert_case | object | The original input package, including source code samples, alert scenarios, and human annotations. |
| validation_result | object | The alert escalation correctness conclusion generated through code analysis and scenario execution. |
| parsed_escalation_policy | object | Escalation chains, timeout rules, and duplicate-control rules extracted from the original source code. |
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |

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@dataset{Mobiusi2026,
title={Alert Escalation Policy Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/64ce712a4a46fdb141b431eca6e16ebd},
urldate={2026-10-27},
keywords={alert escalation policy,code verification dataset,on-call alerts,escalation chain analysis,acknowledgment timeout detection,duplicate escalation control,alert notification validation,failure root-cause analysis},
version={1.0}
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