Wix/WixQA

WixQA是一个为企业检索增强生成(RAG)系统评估和训练而设计的三配置数据集集合。它包括专家编写的真实工单和分步答案、从用户与专家对话中提取的简洁答案以及大规模语言模型提取的问答对。所有答案都基于知识库语料库，并且专家编写和模拟的答案通常需要合成多篇文章。数据集支持检索增强问答、多跳推理和密集/稀疏检索基准测试。

WixQA is a three-config collection designed for evaluating and training Retrieval-Augmented Generation (RAG) systems in enterprise customer-support scenarios. It includes authentic tickets with step-by-step expert answers, concise answers distilled from user–expert chats, and large-scale Q-A pairs extracted by language models. All answers are grounded in the knowledge-base corpus, and answers for ExpertWritten and Simulated often require synthesis of multiple articles. The dataset supports Retrieval-Augmented QA, Multi-Hop Reasoning, and Dense/Sparse Retrieval Benchmarking.