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

#alarm correlation #root cause analysis #fault diagnosis #optical network fault diagnosis #telecom alarm correlation #network maintenance

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

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.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
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.
related_alarm_chain	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

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

Frequently Asked Questions

What does the dataset contain?: Each case describes OLT, PON port, and ONU alarms and status changes in chronological order. The Q&A covers alarm relationships, likely initiating faults, downstream effects, and the distinction between root causes and accompanying symptoms.

How is the data structured, and what tasks does it support?: The data is provided as question-and-answer text with fields for the case input, related alarm chain, likely initiating fault, downstream effects, reasoning rationale, and final answer. It supports reasoning SFT, alarm-chain analysis, fault diagnosis, and model reasoning evaluation.

How can I access and use the dataset?: Check the current dataset listing or platform for available access methods, sample details, file specifications, and delivery options. You can parse the cases and inference outputs by field, then adapt them to your target model's training format.

What are the licensing and usage terms?: The dataset listing and platform agreement define the applicable license, commercial-use permissions, and redistribution restrictions. Review those terms before using the data for training, evaluation, or internal operations analysis.

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Cite this Work

@dataset{Mobiusi2026,
  title={XGS-PON Alarm Correlation and Root-Cause Inference Q&amp;A Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/c441f5f081ac9299f748a4be4708dbda?dataset_scene_id=19},
  urldate={2026-10-09},
  keywords={XGS-PON alarm dataset, alarm correlation, root cause inference, PON fault diagnosis, OLT alarms, ONU status analysis, reasoning SFT data, network operations},
  version={1.0}
}

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