Womenswear Product Catalog Relevance Dataset

#Product Document Retrieval #Query-Product Relevance Ranking #Relevance Classification #Womenswear Product Search #E-commerce Catalog Retrieval #Product Discovery and Recommendation

5690
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset contains womenswear shopper queries and product documents with titles, descriptions, categories, and structured attributes, along with graded relevance labels for query-product pairs. Normalized queries, unified product retrieval text, and paired query-product text support retrieval pipeline development and matching model training. It is suited to womenswear product search, relevance ranking, and retrieval evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
query_text	string	The product search query entered by a womenswear shopper.
product_text	string	A unified retrieval text assembled from the product title, description, category, and attributes.
relevance_label	integer	A human-assigned relevance grade for a query and product document; higher values indicate a stronger match.
normalized_query	string	The shopper query after case normalization, whitespace cleanup, and basic text normalization.
product_document	object	A womenswear catalog document containing the product title, description, category, and structured attributes.
relevance_category	string	A text category derived from the relevance grade, such as irrelevant, partially relevant, or highly relevant.
query_product_pair_text	string	A matching input text that combines the normalized query with the product retrieval text.

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 includes shopper queries, womenswear product documents, graded query-product relevance labels, and fields such as normalized queries, unified retrieval text, paired text, and relevance categories.

Which tasks can the relevance labels support?: The graded labels can support retrieval result ranking, query-product matching, and relevance classification for training and evaluation. Text-based relevance categories are also provided for classification workflows.

How can I access the data, and what are the licensing terms?: Refer to the access or application method listed on the product page, and review the applicable license, permitted uses, and redistribution restrictions before use.

What applications is this data suited to?: It is suited to womenswear e-commerce search, product catalog retrieval, and product discovery. Use it to train or evaluate how well a system matches shopper queries to catalog products.

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Cite this Work

@dataset{Mobiusi2026,
  title={Womenswear Product Catalog Relevance Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/b47d747d01f595de22bbe6268e28c879?dataset_scene_id=9},
  urldate={2026-10-28},
  keywords={womenswear product data,product catalog retrieval,e-commerce search data,query product matching,relevance ranking data,product retrieval training,womenswear search model,relevance labels},
  version={1.0}
}

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