Passenger Railcar Product Technical Specification Extraction Benchmark

#technical specification extraction #product model identification #version-specific attribute matching #passenger railcar specification analysis #railway product catalog management #rolling stock technical assessment

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Designed for passenger railcar manufacturing, this benchmark uses vehicle descriptions and technical specification text from manufacturer websites. It evaluates extraction of model names and versions, dimensions, passenger capacity, maximum speed, track gauge, and propulsion type, including the ability to retain values and units from the source text and associate attributes with the correct model or version. It supports the development, validation, and domain-specific comparison of product information extraction systems.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
width	string	The original value and unit for vehicle width, preserving ranges and approximate expressions.
height	string	The original value and unit for vehicle height, preserving ranges and approximate expressions.
length	string	The original value and unit for vehicle length, preserving ranges and approximate expressions.
model_name	string	The passenger railcar model name identified in the source text.
power_type	string	The propulsion type identified in the source text, such as battery electric, diesel, hybrid, or hydrogen fuel cell.
source_text	string	Original text from a passenger railcar manufacturer's website related to vehicle descriptions and technical specifications.
track_gauge	string	The original value and unit for track gauge, preserving ranges and approximate expressions.
maximum_speed	string	The original value and unit for maximum vehicle speed, preserving ranges and approximate expressions.
model_version	string	Version, configuration, or variant information identified in the source text; leave blank when not explicitly stated.
passenger_capacity	string	The original wording for passenger capacity or approved capacity, retaining ranges, seat counts, and other qualifications.

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 benchmark contain?: It is based on vehicle descriptions and technical specification text from passenger railcar manufacturer websites. Fields include the source text, model name and version, length, width, height, passenger capacity, maximum speed, track gauge, and propulsion type.

How are specification values and units handled?: Dimensions, speed, and track gauge follow the source wording, retaining values, units, ranges, and approximate expressions. Passenger capacity preserves seat counts, passenger ranges, and other stated qualifications.

Which tasks is the benchmark suitable for?: It supports information extraction from railcar product pages, technical attribute recognition, model and version linking, and domain-specific evaluation or validation of related systems.

How can I access the data and check its license?: Obtain the data through the dataset listing or its provider, and review the stated download method, license scope, and requirements for using content from the original webpages before use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Passenger Railcar Product Technical Specification Extraction Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/895f6982d5f78834416fc0d984387137},
  urldate={2026-10-19},
  keywords={passenger railcar specification extraction,railcar dataset,vehicle technical specifications,railcar model information extraction,railcar attribute recognition,web text benchmark,track gauge extraction,propulsion type extraction},
  version={1.0}
}

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