MOBIUSI INCThis question-and-answer text dataset focuses on eligibility decisions for FTTB service provisioning. Each example presents facts such as building coverage, access resources, port occupancy, and provisioning rules, then asks the model to determine whether service can be activated, explain the basis for its conclusion, or identify facts needed to resolve uncertainty. It is designed for reasoning SFT to strengthen rule-based deduction in FTTB provisioning scenarios.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| decision | string | The decision derived from the original scenario and its rules. |
| input_case | string | The original input text containing building coverage status, access resources, port occupancy, provisioning rules, and the question to be decided. |
| reasoning_basis | string | Explains how the known facts and provisioning rules lead to the eligibility decision, or why the available information is insufficient. |
| missing_information | string | When the available information is insufficient to determine the outcome, identifies the additional facts needed; otherwise, contains none. |
| 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 |

Post a request and let data providers reach out to you.
@dataset{Mobiusi2026,
title={FTTB Service Provisioning Eligibility Deductive Reasoning Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/3211f5c96c41aa79ca68a526efb25bb2},
urldate={2026-10-10},
keywords={FTTB dataset, service provisioning eligibility, deductive reasoning data, fiber to the building, reasoning SFT, telecom service rules, port availability, question answer dataset},
version={1.0}
}Using this in research? Please cite us.