Open RAN Interoperability Pattern Induction Q&A Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This question-and-answer text dataset presents multi-vendor Open RAN interoperability cases involving O-CU, O-DU, and O-RU components, including component combinations, interfaces, software configurations, and observed outcomes. Each sample asks a model to compare multiple cases, identify recurring compatibility conditions or interoperability issue patterns, and provide supporting evidence and applicability boundaries. The data supports inductive reasoning training, reasoning SFT, and evaluation of interoperability analysis capabilities in the Open RAN domain.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| question | string | A question asking the model to identify recurring compatibility conditions or interoperability issue patterns across the cases and explain the evidence and applicability boundaries. |
| case_inputs | array | One or more O-CU, O-DU, and O-RU interoperability cases used for pattern induction. |
| final_answer | string | A complete user-facing response that combines the inferred conclusion, supporting case evidence, and applicability boundaries. |
| recurring_pattern | string | A summary of the shared compatibility condition or interoperability issue pattern found across multiple cases. |
| supporting_evidence | array | Case identifiers and specific observations that support the inferred pattern. |
| applicability_boundary | string | The component combinations, interfaces, or software configurations to which the pattern applies, along with cases that cannot be inferred from it. |
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 does the dataset contain?
- The dataset covers interoperability cases involving O-CU, O-DU, and O-RU components, including component combinations, interfaces or software configurations, and observed outcomes. Samples ask models to identify shared compatibility conditions or recurring issue patterns across multiple cases and explain the evidence and scope of each conclusion.
- How are the samples structured, and what capabilities can they train?
- Samples use a question-and-answer structure with case inputs, an induction question, a recurring pattern, supporting evidence, applicability boundaries, and a final answer. They are suitable for training cross-case comparison, inductive reasoning, evidence-based responses, and boundary judgments, as well as for reasoning SFT and capability evaluation.
- How should inductive conclusions in the dataset be interpreted?
- Each conclusion should be supported by the listed cases and their specific observations, and limited to the stated component combinations, interfaces, or software configurations. It should not be treated as a universal guarantee for unrepresented equipment combinations or configurations, nor as a substitute for interoperability testing.
- What are some potential use cases?
- Potential uses include Open RAN interoperability question answering, case-analysis assistants, compatibility issue pattern recognition, and training or evaluating reasoning models for technical support and engineering analysis. For deployment decisions, conclusions should be verified against vendor documentation, version details, and field test results.
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Cite this Work
@dataset{Mobiusi2026,
title={Open RAN Interoperability Pattern Induction Q&A Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/be1a293e32a894a7de3c74fd4af22ab4?dataset_scene_id=19},
urldate={2026-10-09},
keywords={Open RAN dataset, RAN interoperability, interoperability Q&A, inductive reasoning data, reasoning SFT, O-CU, O-DU, O-RU},
version={1.0}
}Using this in research? Please cite us.