5G SA Registration and PDU Session Troubleshooting Reasoning Dataset

#Failure stage identification #Signaling evidence analysis #Multi-step logical reasoning #Troubleshooting answer generation #5G core network operations #Signaling fault diagnosis #Mobile network protocol analysis #Network engineering training

3465
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset presents troubleshooting scenarios for UE registration, authentication, and PDU session establishment in 5G Standalone networks, with reported symptoms, control-plane signaling clues, questions, and analyses. Samples guide models to use protocol evidence to identify likely failure stages step by step and explain how the evidence supports or rules out competing hypotheses. It is designed for 5G core network diagnostics, protocol analysis, and reasoning-focused fine-tuning.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
failure_stage	string	The most likely stage of registration, authentication, or PDU session establishment where the failure occurs.
reasoning_trace	string	A step-by-step explanation linking signaling clues to the likely point of failure.
case_description	string	Background and relevant context for the UE registration or PDU session issue.
observed_symptoms	string	User-visible or network-observed symptoms reported for the affected UE.
recommended_checks	array	Follow-up checks to confirm the diagnosis or distinguish between plausible causes.
signaling_evidence	string	Relevant 5G SA control-plane messages, protocol fields, and signaling clues used for diagnosis.
evidence_assessment	string	An interpretation of key evidence and how it supports or weakens possible failure hypotheses.
troubleshooting_answer	string	A concise diagnosis and direct response to the troubleshooting question.
troubleshooting_question	string	The question to be answered using the provided symptoms and signaling evidence.

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 failure scenarios does the dataset cover?: It focuses on 5G SA control-plane procedures, including UE registration, authentication, and PDU session establishment. Samples provide symptoms, signaling clues, likely failure stages, and troubleshooting questions and answers.

How does the dataset support reasoning training?: In addition to diagnostic questions and conclusions, samples include stepwise reasoning and evidence assessments. This helps models learn to identify failures from symptoms and signaling information and explain the basis for their conclusions.

Which tasks and use cases is the dataset suited for?: It is suited to 5G core network troubleshooting, protocol analysis, network operations assistants, logical reasoning, and reasoning-focused supervised fine-tuning. Users can adapt evaluation criteria to their protocol specifications and network environments.

How can the dataset be obtained, and what are the licensing terms?: Please refer to the product listing or the provider's official information for availability, formats, and licensing. Verify the applicable terms before using the data for commercial training, redistribution, or public release.

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Cite this Work

@dataset{Mobiusi2026,
  title={5G SA Registration and PDU Session Troubleshooting Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/207b4e2c9c01702c9a5adeed3b5a2751},
  urldate={2026-10-26},
  keywords={5G SA troubleshooting,UE registration failure,PDU session establishment,5G signaling analysis,5G core fault diagnosis,authentication failure,network reasoning dataset,reasoning SFT},
  version={1.0}
}

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