Datasetpublic

Mobiusi/XGS-PON-Alarm-Correlation-And-Root-Cause-Inference-Q-A-Dataset

XGS-PON Alarm Correlation and Root-Cause Inference Q&A Dataset This question-and-answer dataset covers alarms and status changes across OLTs, PON ports, and ONUs in XGS-PON access networks, with events presented in chronological order. Its examples trace alarm relationships, identify a likely initiating fault and downstream effects, and distinguish root causes from accompanying symptoms. It is designed for reasoning SFT, fault-causality analysis, and XGS-PON operations… See the full description on the dataset page: https://huggingface.co/datasets/Mobiusi/XGS-PON-Alarm-Correlation-And-Root-Cause-Inference-Q-A-Dataset.

sourceHugging Facecc-by-nc-sa-4.0updated 2d agoView on Hugging Face

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Dataset Card

XGS-PON Alarm Correlation and Root-Cause Inference Q&A Dataset

This question-and-answer dataset covers alarms and status changes across OLTs, PON ports, and ONUs in XGS-PON access networks, with events presented in chronological order. Its examples trace alarm relationships, identify a likely initiating fault and downstream effects, and distinguish root causes from accompanying symptoms. It is designed for reasoning SFT, fault-causality analysis, and XGS-PON operations workflows.

Technical Specifications

Field	Type	Description
case_input	string	Chronological account of alarms and status changes across the OLT, PON port, and ONU, together with the question to be answered.
root_cause	string	Identifies the most likely initiating fault and explains the assessment using the event sequence and device states in the case.
final_answer	string	Complete user-facing conclusion combining the alarm relationships, likely root cause, downstream effects, and distinction between cause and symptoms.
downstream_effects	string	Describes subsequent alarms and status changes that may result from the initiating fault, including effects on ports or ONUs.
reasoning_rationale	string	Summarizes the key event sequence, status changes, and evidence used to correlate alarms, infer a root cause, and rule out alternative explanations.
relatedalarmchain	string	Chronological account of related alarms and status changes, including their causal or correlational relationships.
symptom_classification	string	Distinguishes the most likely root cause from resulting or concurrent symptoms and explains the basis for the distinction.

Compliance Statement

<table> <tr><td>Authorization Type</td><td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td></tr> <tr><td>Commercial Use</td><td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td></tr> <tr><td>Privacy and Anonymization</td><td>No PII, no real company names, simulated scenarios follow industry standards</td></tr> <tr><td>Compliance System</td><td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td></tr> </table>

Source & Contact

contact@mobiusi.com