发表机构
University of Cologne（科隆大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
CAS2UML是含557幅手绘类图与活动图及对应PlantUML代码的公开数据集，配套验证工具与脚本，可实现草图转UML方法的可复现基准测试。
AI 中文摘要
随着大语言模型和多模态AI的兴起，从草图和图像自动生成UML重新受到关注。但由于缺乏带有可执行基准模型的公开数据集，可复现的评估仍存在困难。本文提出CAS2UML，这是一个包含557幅手绘UML图的公开数据集，其中包括271幅类图和286幅活动图，每幅图都配有经人工验证的PlantUML代码。我们还提供了基于PlantUML的验证工具和可复用脚本，用于检查生成的UML制品的语法正确性和可渲染性，支持对草图到UML方法进行可复现的基准测试。该数据集、验证工具、处理脚本、文档和演示视频均已公开，相关链接为：数据集：this https URL /cas2uml_hand-drawn_to_plantuml_dataset；工具和脚本：this https URL；视频：this https URL。
英文摘要
Automated UML generation from sketches and images is gaining renewed attention with the rise of large language models and multimodal AI. However, reproducible evaluation remains difficult due to the lack of public datasets with executable groundtruth models. We present CAS2UML, a public dataset of 557 handdrawn UML diagrams, including 271 class diagrams and 286 activity diagrams, each paired with manually validated PlantUML code. We also provide a PlantUML-based validation tool and reusable scripts for checking the syntactic correctness and renderability of generated UML artifacts, enabling reproducible benchmarking of sketch-to-UML approaches. The dataset, validation tool, processing scripts, documentation, and demonstration video are publicly available at: Dataset: https://huggingface.co/datasets/Seym0n /cas2uml_hand-drawn_to_plantuml_dataset; Tool and Scripts: https://github.com/Seym0n/handwritten-uml-dataset; Video: https://www.youtube.com/watch?v=KQrYeGgT3hs.
