5G SA QoS Flow and Policy Reasoning Dataset

#constraint-based reasoning #policy conflict detection #QoS decision reasoning #5G standalone network management #QoS policy optimization #network service quality assurance

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

JSONThis question-answer dataset presents 5G Standalone scenarios involving QoS flows, PDU session parameters, policy rules, traffic requirements, and related conditions, alongside answers and reasoning explanations. It focuses on how rule constraints relate to expected handling, supporting consistency assessment, policy conflict detection, and reasoned conclusions. Typical uses include reasoning SFT for 5G core networks, policy validation, and network operations support.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
answer_text	string	The derived answer to the question, stating the appropriate conclusion or expected handling.
question_text	string	The original question asking for analysis or a conclusion based on the scenario conditions.
scenario_text	string	The original text describing relevant QoS flows, PDU session parameters, policy rules, traffic requirements, and other conditions.
reasoning_text	string	The derived explanation connecting traffic requirements, QoS flow properties, session context, and policy constraints to the answer.
policy_consistency	string	The derived assessment of whether the stated conditions are consistent, conflicting, or insufficient to determine an outcome.

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?: Samples describe 5G SA scenarios involving QoS flows, PDU session parameters, policy rules, traffic requirements, and other conditions. Each record provides a question, a derived answer, a reasoning explanation, and an assessment of policy consistency.

Which capabilities can it support?: The data can support training models to analyze relationships between QoS requirements and policy constraints, assess whether conditions are consistent, identify rule conflicts, and infer expected handling from a scenario.

What is the data structure?: The dataset is organized as question-answer text with fields for scenario text, question, answer, reasoning, and policy consistency assessment. It can be used to build reasoning SFT examples or related evaluations. Refer to the product listing for exact size, formats, and quality specifications.

How can I obtain the data and check its license?: Use the access channel provided on the product page or platform, and review the applicable license, authorization scope, and delivery terms before use. For commercial training, publication, or redistribution, confirm that the relevant permissions are covered by the license.

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Cite this Work

@dataset{Mobiusi2026,
  title={5G SA QoS Flow and Policy Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/87beaf3c3ad00621e6555bc7d9d50187},
  urldate={2026-10-17},
  keywords={5G SA dataset,QoS flow reasoning,PDU session policy,5G core network,policy consistency checking,telecom QA,reasoning SFT,network rule analysis},
  version={1.0}
}

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