HeshamHaroon/ArabicRAGB

ArabicRAGB是一个用于评估阿拉伯语任务中检索增强生成（RAG）系统的基准数据集。每条记录包含一个查询-段落对，其中查询基于段落内容生成并可从中找到答案。关键特征包括：基于段落的查询、多方言覆盖（现代标准阿拉伯语、埃及阿拉伯语、海湾阿拉伯语、黎凡特阿拉伯语和马格里布阿拉伯语）、复杂度级别（简单、中等、复杂和多跳查询）以及统一格式（每条记录包含查询和段落）。数据集包含13,163条记录，涵盖地理、历史、文化、科学、健康、法律和经济等多个主题。

ArabicRAGB is a benchmark dataset for evaluating Retrieval-Augmented Generation (RAG) systems on Arabic language tasks. Each record contains a query-passage pair where the query is grounded in the passage content. Key features include: Passage-Grounded Queries, Multi-Dialect Coverage (MSA, Egyptian, Gulf, Levantine, and Maghrebi Arabic), Complexity Levels (Simple, Moderate, Complex, and Multi-hop queries), and Unified Format (Query and passage together in each record). The dataset contains 13,163 records covering diverse topics such as Geography, History, Culture, Science, Health, Law, and Economy.