"HistCAD: Geometrically Constrained Parametric History-based CAD Dataset"

"Parametric computer-aided design (CAD) modeling is fundamental to industrial design, but existing datasets often lack explicit geometric constraints and fine-grained functional semantics, limiting editable, constraint-compliant generation. We present HistCAD, a large-scale dataset featuring constraint-aware modeling sequences that compactly represent procedural operations while ensuring compatibility with native CAD software, encompassing five aligned modalities: modeling sequences, multi-view renderings, STEP-format B-reps, native parametric files, and textual annotations. We develop AM\\(_\\text{HistCAD}\\), an annotation module that extracts geometric and spatial features from modeling sequences and uses a large language model to generate complementary annotations of the modeling process, geometric structure, and functional type.Extensive evaluations demonstrate that HistCAD\u2019s explicit constraints, flattened sequence format, and multi-type annotations improve robustness, parametric editability, and accuracy in text-driven CAD generation, while industrial parts included in HistCAD further support complex real-world design scenarios. HistCAD thus provides a unified benchmark for advancing editable, constraint-aware, and semantically enriched generative CAD modeling."

参数化计算机辅助设计（CAD）建模是工业设计的核心基础，但现有数据集往往缺乏显式几何约束与细粒度功能语义，制约了可编辑且符合约束规范的生成任务。我们提出HistCAD，这是一个大规模数据集，其核心为感知约束的建模序列——该序列可紧凑表示过程化操作，同时确保与原生CAD软件兼容，涵盖五种对齐模态：建模序列、多视图渲染图、STEP格式边界表示（B-reps）、原生参数化文件与文本标注。我们开发了AM_HistCAD标注模块，该模块可从建模序列中提取几何与空间特征，并借助大语言模型生成建模过程、几何结构与功能类型的补充标注。大量评估实验表明，HistCAD所具备的显式约束、扁平化序列格式与多类型标注，可提升文本驱动CAD生成任务的鲁棒性、参数化可编辑性与准确率；同时数据集内置的工业零部件进一步支持复杂现实场景下的设计任务。因此，HistCAD为推动可编辑、感知约束且语义增强的生成式CAD建模技术发展，提供了统一基准测试平台。