Temperature Sensor Accuracy and Calibration Claim Extraction Evaluation Dataset
#Technical Claim Extraction #Performance Attribute Recognition #Value and Condition Extraction #Calibration Status Recognition #Temperature Sensor Selection #Product Specification Analysis #Calibration Status Verification #Technical Document Search
- 7500
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-03
AI Analysis & Value Prop
This 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.
Dataset Insights
Sample Examples
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Technical Specifications
| 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. |
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 |
Frequently Asked Questions
- What does the dataset contain?
- It compiles performance and calibration claims from temperature sensor web pages, including measurement error, accuracy, tolerance, repeatability, stability, drift, calibration methods, and calibration status. Annotations capture the relevant entities, values, conditions, and relationships.
- Which model capabilities can it evaluate?
- The dataset supports evaluation of technical claim extraction from specialized web text, recognition of performance attributes and numerical conditions, and identification of calibration methods and status. It can also support technical document analysis and temperature sensor performance comparison research.
- Which fields are included?
- The listed schema includes the original web page text (source_text) and a list of extracted claims (extracted_claims). The latter contains performance or calibration claims extracted from the text; refer to the dataset package documentation for the exact annotation format and delivery specifications.
- How can I obtain the dataset and check its license?
- Check the current product page or the provider's published channels for availability, delivery specifications, and licensing terms. Before use, verify the permitted scope, particularly for commercial use, redistribution, and any restrictions on the original web text.
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Verified for Enterprise UseCite this Work
@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_task_cate_id=9},
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.
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