5G PDU Session Establishment Fault Diagnosis QA Dataset

#fault abductive reasoning #root cause classification #evidence mapping #diagnostic recommendation generation #5G core operations #session establishment troubleshooting #network function diagnosis #telecom fault analysis
Records
4620
Size
0.5GB
Format
JSON
Provider
MOBIUSI INCMOBIUSI INC
Updated
v1.02026-11-05
AI Analysis & Value Prop

This dataset covers 5G core network scenarios involving failed or abnormal PDU session establishment, with question-answer examples featuring clues about DNN, S-NSSAI, SMF, UPF, and policy interactions. It addresses potential causes such as configuration mismatches, network function selection, and network function processing. Evidence mappings, diagnostic reasoning, and recommended validation steps connect case clues to likely causes, supporting reasoning SFT, fault localization training, and diagnostic evaluation.

Overview

Dataset Insights

Preview

Sample Examples

sample.json
{}

Schema

Technical Specifications

file_namestringFile name
diagnosisstringThe most likely explanation for the PDU session establishment failure or abnormal behavior.
reasoningstringA concise reasoning trace explaining how the available clues support the diagnosis and distinguish it from alternatives.
case_inputstringThe original textual question and case clues, including relevant DNN, S-NSSAI, SMF, UPF, and policy interactions.
evidence_mappingstringAn explanation linking clues in the case input to the proposed diagnosis.
root_cause_categorystringThe primary class of suspected issue, such as a configuration mismatch, network function selection, or network function processing.
recommended_validationstringSuggested checks or troubleshooting steps for validating the diagnosis in the 5G core network.

Trust

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

FAQ

Frequently Asked Questions

What diagnostic clues does the dataset cover?
Examples focus on failed or abnormal PDU session establishment and include textual clues involving DNN, S-NSSAI, SMF, UPF, and policy interactions. They also provide likely diagnoses, root cause categories, and links between clues and conclusions.
How is the diagnostic process represented?
Each case is structured around case input, diagnosis, root cause category, evidence mapping, concise reasoning, and recommended validation. This format helps models learn to infer likely causes from case clues and propose follow-up checks.
Which training and evaluation tasks does it support?
The data supports fault abductive reasoning, root cause classification, evidence association, and diagnostic recommendation generation for 5G core networks. It can be used for reasoning SFT and related diagnostic evaluations; operational findings should be validated against network configuration, signaling, and maintenance records.
How can the data be obtained, and what are the licensing terms?
Availability, delivery format, and license scope are determined by the product listing or the data provider. Before use, confirm whether the license permits model training, evaluation, and commercial use, and follow applicable data security and network operations requirements.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

High-quality data, ready for your next AI breakthrough.

Cite this Work

@dataset{Mobiusi2026,
  title={5G PDU Session Establishment Fault Diagnosis QA Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/f918ea61f9e0dd0b39faa0efcc849168?dataset_scene_id=19},
  urldate={2026-10-26},
  keywords={5G PDU session,session establishment failure,5G core diagnosis,DNN configuration,S-NSSAI,SMF,UPF,fault diagnosis QA},
  version={1.0}
}

Using this in research? Please cite us.

placeholder
placeholder
placeholder
placeholder
placeholder
placeholder
placeholder

Popular Dataset Searches