Temperature Sensor Product Specification Information Extraction Benchmark

#technical specification extraction #product attribute identification #structured information extraction #temperature sensor product catalog management #sensor specification analysis #electronic component selection

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-25

AI Analysis & Value Prop

This benchmark uses text from temperature sensor manufacturers' product pages and online technical catalogs as input, with structured reference answers for attributes such as sensing range, accuracy, output type, response time, and mounting method. It supports evaluation of a model's ability to identify and extract specifications from web text, as well as benchmarking, system comparisons, and iterative improvement of information extraction solutions.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
accuracy	string	The stated measurement accuracy or tolerance, preserving the values and units provided in the source.
output_type	string	The sensor's output signal type or output interface format.
source_text	string	Temperature sensor text from a manufacturer product page or online technical catalog.
response_time	string	The response time stated for the product, preserving the values and units provided in the source.
sensing_range	string	The temperature range measurable by the sensor, preserving the values and units stated in the source.
mounting_method	string	The mounting method supported or required by the product.

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 product information does the benchmark cover?: Each example uses text from a manufacturer product page or online technical catalog and provides structured reference answers for fields such as sensing range, accuracy, output type, response time, and mounting method.

Which capabilities can this dataset evaluate?: It is suitable for evaluating a model's ability to identify temperature sensor specifications in web text and extract them into defined fields. It can also help compare information extraction systems or prompting approaches.

How are values and units represented?: Reference answers follow the field definitions. Numeric values and units for attributes such as sensing range, accuracy, and response time are retained as stated in the source text. Refer to the product page for details on dataset size and splits.

How can I access the dataset, and what are the licensing terms?: Check the dataset product page for available access methods, license terms, and usage restrictions. Before commercial deployment or redistribution, confirm that the license covers the intended use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Temperature Sensor Product Specification Information Extraction Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/2cd86e089349fa9311e927b182bab8ce},
  urldate={2026-10-20},
  keywords={temperature sensor dataset,product specification extraction,sensor attribute extraction,web text benchmark,temperature sensor specifications,information extraction benchmark,technical catalog parsing,automated evaluation data},
  version={1.0}
}

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