Womenswear Product Catalog Relevance Dataset
- Records
- 5690
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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}
}Using this in research? Please cite us.