Shopping Queries Image Dataset (SQID)

Shopping Queries Image Dataset (SQID)是由Crossing Minds创建的一个扩展自Amazon Shopping Queries Dataset的数据集，特别增加了与190,000种产品相关的图像信息。该数据集旨在通过整合视觉信息，促进多模态学习技术的发展，以改善产品搜索和排名。SQID不仅包含产品的图像信息，还包括相关的文本嵌入，使研究人员能够探索多模态学习对产品搜索有效性的影响。该数据集主要应用于电子商务领域，旨在解决产品搜索中视觉信息与文本信息结合的问题，提高搜索的相关性和准确性。

Shopping Queries Image Dataset (SQID) is a dataset developed by Crossing Minds, extended from the Amazon Shopping Queries Dataset. It specifically incorporates image data associated with 190,000 products. The core purpose of this dataset is to advance the development of multimodal learning technologies by integrating visual information, thereby enhancing product search and ranking performance. SQID not only contains product image information but also includes relevant text embeddings, enabling researchers to investigate the impact of multimodal learning on the efficacy of product search. Primarily applied in the e-commerce domain, this dataset aims to address the challenge of combining visual and textual information in product search, and improve the relevance and accuracy of search results.