Footwear Component-Material Relation Extraction Dataset

#Relation Extraction #Information Extraction #Structured Output Generation #Instruction Tuning #Footwear Catalog Parsing #Product Information Structuring #Retail Data Governance #Product Knowledge Graph Construction

4150
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Designed for footwear retail catalogs, this dataset contains product descriptions covering uppers, linings, midsoles, outsoles, and other footwear components. It represents identified components and their associated materials as structured relations, with supporting source evidence for traceability and review. The data supports footwear catalog structuring, product knowledge graph construction, and training or evaluation of models that produce structured outputs.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
catalog_description	string	The original footwear product catalog text used as the source for extraction.
component_material_relations	array	Structured pairs linking each identified footwear component to its associated material, with supporting source evidence.

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?: Each record includes original footwear catalog text and the component-material relations identified in that text. Components may include uppers, linings, midsoles, outsoles, and other footwear parts, with source evidence supporting the extracted relations.

How can the relations be reviewed?: Components and materials are represented as linked pairs rather than unrelated attribute lists. The accompanying source evidence makes it possible to check each relation against the original product description.

Which training and application tasks does it support?: The data supports footwear information extraction, component-material relation extraction, and structured output training. It can also be used for retail catalog parsing, product data governance, and product knowledge graph construction.

How can the data be obtained, and what are the licensing terms?: Refer to the product listing for delivery specifications, access options, and license terms. Before use, confirm that the license covers the intended training, evaluation, or commercial application and follow all applicable data-use requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Footwear Component-Material Relation Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/20bd62f623a1e0b3f16aec63f6f182be},
  urldate={2026-10-26},
  keywords={footwear dataset,footwear component materials,footwear relation extraction,product catalog extraction,shoe product data,structured output training,retail product information,product knowledge graph},
  version={1.0}
}

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