MOBIUSI INCThis benchmark contains web text describing flow sensor operating conditions, including normal measurement, standby, empty pipe, over-range, reverse flow, alarms, and signal anomalies. Annotations identify operating states, their trigger conditions, and related sensor attributes, with an extraction confidence score. It supports evaluation of models that identify and extract structured state information from domain-specific text.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| operating_state | string | The name of the flow sensor operating state identified from the webpage text. |
| sensor_attributes | object | Attributes of the flow sensor and measured object that are related to the operating state and stated in the webpage text. |
| trigger_conditions | array | Conditions, thresholds, or field situations that trigger the operating state; multiple conditions may be included. |
| raw_webpage_content | string | The original webpage content to be analyzed for information about flow sensor operating states. |
| extraction_confidence | number | Overall confidence in the extracted operating state and related attributes, expressed on a scale from 0 to 1. |
Trust
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
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@dataset{Mobiusi2026,
title={Flow Sensor Operating State Information Extraction Benchmark},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/a07af4ea756d954a49dcfab3e01527f9?dataset_scene_id=6},
urldate={2026-10-28},
keywords={flow sensor dataset,operating state recognition,sensor state extraction,flow meter benchmark,industrial sensor text,trigger condition extraction,sensor attribute extraction,information extraction benchmark},
version={1.0}
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