E-commerce Product Reviews Dataset for Hybrid Data Quality Validation

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

本数据集支撑题为《可扩展数据质量混合框架：对比Microsoft Fabric中的PySpark与AI驱动验证》的研究论文。数据集包含合成电子商务评论数据、Jupyter笔记本、Python脚本，以及用于评估融合基于PySpark的规则验证与AI驱动上下文检查的混合框架的输出结果。该数据集可支持空值检测、模式违规、语义不匹配以及情感漂移相关实验，助力研究人员评估分布式环境下数据质量解决方案的准确性、可扩展性与成本效益。