MOBIUSI INCThis evaluation set uses text from gas sensor manuals, maintenance guides, and troubleshooting webpages to assess whether models can identify and extract operating or abnormal states such as warm-up, calibration due, over-range, and sensor faults. It focuses on state descriptions, their triggering conditions, and their manifestations, providing a way to measure model understanding and information extraction from specialized gas sensor documents. It supports domain-specific model evaluation, equipment maintenance workflows, and validation of technical document processing.
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_text | string | Verbatim text from a gas sensor manual, maintenance guide, or troubleshooting webpage used as the extraction input. |
| state_extractions | array | Operating, maintenance, warning, or fault states identified in the source text. |
| 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 |

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@dataset{Mobiusi2026,
title={Gas Sensor Operating and Fault State Information Extraction Evaluation Set},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/5fce21ac51722f5cd40d3ebe361875f6},
urldate={2026-10-20},
keywords={gas sensor dataset,sensor fault states,gas sensor evaluation set,equipment state extraction,sensor fault diagnosis,gas sensor maintenance,technical document extraction,state recognition benchmark},
version={1.0}
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