MOBIUSI INC5000This dataset focuses on operational fault scenarios in private 5G networks and covers fault symptoms, related configuration and observational information, diagnostic questions, evidence analysis, excluded causes, and fault judgments. Samples use a structured question-and-answer format to show how to connect symptoms with operational clues, rule out inconsistent hypotheses, and reach evidence-based diagnostic conclusions. It is suitable for reasoning SFT, fault localization, root-cause analysis, and training or evaluating private network operations models.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| fault_judgment | string | Provides the most evidence-based fault judgment and explains the reasoning using key supporting evidence. |
| excluded_causes | string | Lists candidate causes that are inconsistent with the available clues and explains the basis for ruling them out. |
| evidence_analysis | string | Analyzes relationships among symptoms, configuration, and observed clues, and explains which clues support or weaken relevant fault hypotheses. |
| diagnostic_question | string | States the question to be answered, such as fault localization, cause analysis, or a troubleshooting decision. |
| symptom_description | string | Records the observed fault symptoms in private network operations, including the impact scope and occurrence time when available. |
| configuration_observations | string | Records relevant private network configuration parameters, equipment status, performance metrics, alarms, and other observed clues. |
| 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={Private 5G Network Fault Diagnosis Reasoning Q&A Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5698d1eafdbdfa60be624f62d13cdffb},
urldate={2026-10-12},
keywords={private 5G fault diagnosis, 5G operations dataset, network fault Q&A, fault reasoning data, reasoning SFT dataset, root cause analysis, telecom operations training, 5G network troubleshooting},
version={1.0}
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