ARTigo: Social Image Tagging (Aggregated Data)

ARTigo (https://www.artigo.org/) is a Citizen Science project that has been jointly developed at the Institute for Art History and the Institute for Informatics at Ludwig Maximilian University of Munich since 2010. It enables participants to engage in the tagging of artworks, thus fostering knowledge accumulation and democratizing access to a traditionally elitist field. ARTigo is built as an interactive web application that offers Games With a Purpose: in them, players are presented with an image – and then challenged to communicate with one another using visual or textual annotations within a given time. Through this playful approach, the project aims to inspire greater appreciation for art and draw new audiences to museums and archives. It streamlines the discoverability of art-historical images, while promoting inclusivity, effective communication, and collaborative research practices. The project’s data are freely available to the wider research community for novel scientific investigations. File structure The dataset is provided in a .jsonl file format, with each line representing a single image and its associated metadata. The images themselves are provided separately in a .zip file. data.jsonl: Each line in the .jsonl file represents a single image and its associated metadata, and has the following key-value pairs: id: a unique identifier for the image; hash_id: a unique identifier for the image based on its content (e.g., image hash); titles: a list of titles associated with the image, with each title having the following key-value pairs: id: a unique identifier for the title; name: the name of the title; creators: a list of creators associated with the image, with each creator having the following key-value pairs: id: a unique identifier for the creator; name: the name of the creator; location: the location associated with the image; institution: the institution that holds the image; source: information about the source of the image, with the following key-value pairs: id: a unique identifier for the source; name: the name of the source; url: the URL of the source; tags: a list of tags associated with the image, with each tag having the following key-value pairs: id: a unique identifier for the tag; name: the name of the tag; language: the language of the tag (if available); count: the number of times the tag has been applied to the image; path: the path to the image file. media.zip: The images themselves are stored in a .zip file. Each image is stored in a folder named after the first two characters of its hash_id. Within this folder, there is a sub-folder named after the next two characters of the hash_id. The image file itself is stored within that sub-folder and is named with the complete hash_id and .jpg file extension. The folder structure within the .zip file thus is as follows: root | ├── f4 | └── 22 | └── f42236be6580338e9b98b8e00c0f4e49.jpg ├── 4c | └── d3 | └── 4cd3f476b14abfcb2a91e6c8f2d356f6.jpg └── ... Terms of use The data are provided “as is,” without any warranties of any kind. They are provided under the Creative Commons Attribution-ShareAlike 4.0 International license, and are updated monthly, so users can be confident they are accessing the most up-to-date information.ARTigo（https://www.artigo.org/）是由慕尼黑路德维希-马克西米利安大学艺术史研究所与信息学研究所自2010年联合开发的公民科学项目（Citizen Science project）。该项目允许参与者为艺术品标注标签，以此推动知识积累，并让原本属于精英圈层的艺术领域实现民主化的知识获取。ARTigo作为一款交互式网页应用，提供带有目的的游戏（Games With a Purpose）：玩家将获得一幅艺术品图像，随后需在限定时间内，通过视觉或文本注释与其他玩家完成互动。通过这种寓教于乐的方式，该项目旨在激发人们对艺术的更深层次欣赏，吸引更多观众走进博物馆与档案馆。它不仅优化了艺术史图像的可发现性，同时倡导包容性、高效沟通与协作式研究范式。本项目的数据集面向广大科研社群免费开放，可用于开展各类创新性科学研究。 ## 文件结构 数据集以.jsonl文件格式提供，每一行对应单幅图像及其关联元数据。图像文件本身则单独打包在.zip压缩文件中。 ### data.jsonl 该.jsonl文件的每一行代表单幅图像及其元数据，包含以下键值对： 1. "id": 图像的唯一标识符； 2. "hash_id": 基于图像内容生成的唯一标识符（例如图像哈希值）； 3. "titles": 图像关联的标题列表，每个标题包含以下键值对： - "id": 标题的唯一标识符； - "name": 标题的名称； 4. "creators": 图像关联的创作者列表，每个创作者包含以下键值对： - "id": 创作者的唯一标识符； - "name": 创作者的姓名； 5. "location": 图像关联的收藏地点； 6. "institution": 持有该图像的机构； 7. "source": 图像来源信息，包含以下键值对： - "id": 来源的唯一标识符； - "name": 来源的名称； - "url": 来源的URL地址； 8. "tags": 图像关联的标签列表，每个标签包含以下键值对： - "id": 标签的唯一标识符； - "name": 标签的名称； - "language": 标签所使用的语言（若有）； - "count": 该标签被应用到该图像的次数； 9. "path": 图像文件的存储路径。 ### media.zip 所有图像文件存储于此压缩包中。图像文件的存储路径遵循如下规则：以其"hash_id"的前两个字符作为一级文件夹名，再以该"hash_id"的后续两个字符作为二级文件夹名，最终图像文件以完整的"hash_id"加上".jpg"后缀命名并存放在该二级文件夹内。压缩包内的文件夹结构示例如下： root | ├── f4 │ └── 22 │ └── f42236be6580338e9b98b8e00c0f4e49.jpg ├── 4c │ └── d3 │ └── 4cd3f476b14abfcb2a91e6c8f2d356f6.jpg └── ... ## 使用条款 本数据集按“现状”提供，不附带任何形式的明示或默示担保。数据集采用知识共享署名-相同方式共享4.0国际许可协议（Creative Commons Attribution-ShareAlike 4.0 International）进行授权，且每月更新一次，用户可放心获取最新的相关信息。