"E-commerce Product Reviews Dataset for Hybrid Data Quality Validation"
收藏DataCite Commons2025-08-01 更新2026-05-03 收录
下载链接：
https://ieee-dataport.org/documents/e-commerce-product-reviews-dataset-hybrid-data-quality-validation
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资源简介：
"This dataset supports the research article titled - A Hybrid Framework for Scalable Data Quality: Comparing PySpark and AI-Powered Validation in Microsoft Fabric. It includes synthetic e-commerce review data, a Jupyter notebook, Python scripts, and output results used to evaluate a hybrid framework that combines PySpark-based rule validation with AI-driven contextual checks. The data enables experimentation on null detection, pattern violations, semantic mismatches, and sentiment drift, helping researchers assess accuracy, scalability, and cost efficiency of data quality solutions in distributed environments"
提供机构：
IEEE DataPort
创建时间：
2025-08-01
