MOBIUSI INCThis dataset brings together technical claims from temperature sensor web pages, covering measurement error, accuracy, tolerance, repeatability, stability, drift, calibration methods, and calibration status. Annotations focus on the entities, values, conditions, and relationships associated with each claim, supporting evaluation of models that identify and extract performance attributes and calibration information from domain-specific web text. It is designed for information extraction evaluation, technical document analysis, and product performance comparison in the temperature sensor domain.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_text | string | The original body text or relevant technical claim from a temperature sensor web page to be processed. |
| extracted_claims | array | Claims extracted from the source text about measurement error, accuracy, tolerance, repeatability, stability, drift, calibration methods, or calibration status. |
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
Post a request and let data providers reach out to you.
High-quality data, ready for your next AI breakthrough.
@dataset{Mobiusi2026,
title={Temperature Sensor Accuracy and Calibration Claim Extraction Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/84a946563c877161d4eb2bc1b65ed8da?dataset_scene_id=6},
urldate={2026-10-28},
keywords={temperature sensor dataset,temperature sensor accuracy,calibration claim extraction,sensor performance evaluation,measurement error extraction,technical information extraction,calibration status recognition,web text evaluation},
version={1.0}
}Using this in research? Please cite us.