nleroy917/hm_ecommerce_products

该数据集是[H&M个性化时尚推荐](https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations) Kaggle竞赛数据集的加工和增强版本。原始数据集经过清洗，并增加了预计算的嵌入和可访问的图像URL，以促进时尚推荐研究和多模态检索应用。数据集包含丰富的产品元数据、客户信息和H&M电子商务平台的交易历史。增强版本包括：约106,000种时尚产品的详细元数据、约137万客户的 demographic 信息、用于推荐建模的历史交易数据、通过S3 URL访问的产品图像、预计算的密集嵌入（BGE-small-en-1.5）和稀疏嵌入（SPLADEv1）。

This dataset is a processed and enhanced version of the [H&M Personalized Fashion Recommendations](https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations) Kaggle competition dataset. The original dataset has been cleaned and augmented with pre-computed embeddings and accessible image URLs to facilitate fashion recommendation research and multimodal retrieval applications. The H&M dataset contains rich product metadata, customer information, and transaction history from H&Ms e-commerce platform. This enhanced version includes: ~106,000 fashion products with detailed metadata, ~1.37 million customers with demographic information, historical transaction data for recommendation modeling, product images accessible via S3 URLs, pre-computed dense embeddings (BGE-small-en-1.5), and pre-computed sparse embeddings (SPLADEv1).