SINAI/ALIA-administrative-triplets

该数据集包含表格实例，旨在使用基于段落的查询-答案数据训练和评估检索导向模型（如密集检索器/嵌入编码器），这些数据是通过集成在ALIA编码器管道中的Qwen3风格提示工作流生成的。它保留了原始文档和块的来源，同时提供了诸如问题“类型”和“难度”（从“高中”到“博士”级别）等控制。数据集专注于特定领域的法律行政文本，并与跟踪文档/块来源的文档分割工作流程兼容。

This dataset contains tabular instances designed to train and evaluate retrieval-oriented models (e.g., dense retrievers / embedding encoders) using passage-grounded query–answer data produced with a Qwen3-style prompting workflow integrated in the ALIA encoders pipeline. It preserves provenance to the original document and chunk while exposing controls such as question `type` and `difficulty` (ranging from `high_school` to `phd` level). The dataset is focused on domain-specific legal-administrative text and compatible with document segmentation workflows that track document/chunk provenance.