Famous Paintings Cultural Heritage Metadata Benchmark for LLM Querying

Famous Paintings Cultural Heritage Metadata Benchmark for LLM Querying This dataset is a benchmark package built on top of the Famous Paintings dataset from Kaggle and designed for experiments on structured querying over cultural heritage data. It includes the benchmark schema (paintings.json) together with SQL and natural-language query sets (queries_paintings.sql and queries_paintings.txt) for reproducible evaluation. The benchmark models a relational cultural-heritage collection centered on artists, works, museums, subjects, image links, and product-related metadata. The benchmark includes the following main tables: artist canvas_size image_link museum museum_hours product_size subject work Across these tables, the benchmark supports structured information needs involving: artist nationality, style, birth year, and death year museum country, city, and state work style and museum associations subject-based retrieval image-link retrieval sale-price and regular-price filtering multi-table joins across artists, works, museums, subjects, and product metadata The query set contains 140 manually designed queries in natural-language form, mirrored by corresponding SQL queries, and covers both simple filtering and more complex join-heavy retrieval patterns. These queries were designed to support reproducible experiments on digital libraries, cultural heritage collections, and large language models used as structured knowledge access systems. License and provenance This benchmark is derived from the Famous Paintings dataset published on Kaggle (`mexwell/famous-paintings`). At the time of writing, the Kaggle dataset page reports the license as “Other (specified in description)”, not CC0. Reuse of the source data should therefore follow the original dataset terms and any rights information provided by the source publisher.面向大语言模型（LLM）查询的名画文化遗产元数据基准数据集 本数据集是基于Kaggle平台上的「名画数据集」构建的基准测试套件，专为文化遗产数据的结构化查询实验而设计。其包含基准数据集架构（paintings.json），以及用于可复现评估的结构化查询语言（Structured Query Language，简称SQL）与自然语言查询集（queries_paintings.sql、queries_paintings.txt）。该基准数据集构建了以艺术家、作品、博物馆、主题、图像链接及产品相关元数据为核心的关系型文化遗产馆藏模型。 该基准数据集包含以下主要数据表： artist（艺术家表）、canvas_size（画布尺寸表）、image_link（图像链接表）、museum（博物馆表）、museum_hours（博物馆开放时间表）、product_size（产品尺寸表）、subject（主题表）、work（作品表） 依托上述数据表，该基准数据集可满足以下结构化信息查询需求： - 艺术家的国籍、创作风格、出生年份与逝世年份 - 博物馆的所在国家、城市与所属州省 - 作品风格与博物馆关联信息 - 基于主题的馆藏检索 - 图像链接检索 - 售价与常规价格筛选 - 跨艺术家、作品、博物馆、主题及产品元数据的多表连接查询 本次查询集包含140条人工编写的自然语言查询，配套有对应的SQL语句，涵盖简单筛选与复杂多表连接检索等多种查询模式。该查询集旨在支持针对数字图书馆、文化遗产馆藏以及作为结构化知识访问系统的大语言模型的可复现实验。 许可协议与来源说明 本基准数据集源自Kaggle平台上发布的「名画数据集」（`mexwell/famous-paintings`）。截至本说明编写之时，该Kaggle数据集页面标注的许可协议为"Other (specified in description)"，而非CC0协议。因此，对源数据的二次使用需遵循原始数据集的使用条款及源发布方提供的相关权利声明。