BIM Spatial Models for Construction Dependency Inference and Scheduling Optimization

This dataset contains three Building Information Modeling (BIM) projects in IFC format, along with their corresponding processed semantic data used for spatial reasoning, dependency inference, and scheduling research. Each BIM model folder includes both the original IFC file and several CSV files that provide structured geometric, spatial, and semantic information extracted from the IFC model.The dataset consists of: 1. BIM_meeting_room_data A small-scale architectural BIM model representing a typical meeting room. Included files: BIM_meeting_room.ifc – the original IFC model ifc_family_data.csv – component family/type attributes ifc_space_centroids_data.csv – centroid coordinates of spatial units ifc_space_data.csv – geometric and semantic space-level attributes lowest_points.csv – elevation and placement reference points spatial_relationships_detailed.csv – detailed adjacency, containment, and interaction relationships 2. BIM_residential_building_data A medium-scale multi-room residential building model. Included files: BIM_residential_building.ifc – the original IFC model ifc_family_data.csv – families and object classification ifc_space_centroids_data.csv – geometric centers of all rooms ifc_space_data.csv – IFC-derived geometric features lowest_points.csv – base elevation and alignment information spatial_relationships_detailed.csv – full spatial interaction matrix 3. rac_advanced_sample_project_data A large and complex BIM project commonly used in industrial design workflows. Included files: rac_advanced_sample_project.ifc – the complete IFC model ifc_family_data.csv – component types and metadata ifc_space_centroids_data.csv – centroid positions for rooms and areas ifc_space_data.csv – extended geometric/semantic features lowest_points.csv – elevation anchors spatial_relationships_detailed.csv – multi-type spatial relationship details This dataset supports research in: BIM-based spatial reasoning Graph neural network (GNN) dependency inference Construction scheduling optimization Automated semantic enrichment IFC-to-graph conversion workflows All models and CSV files in this dataset were used to evaluate the proposed TSG–GNN–DLSA scheduling framework in the associated publication.本数据集包含3个工业基础类（Industry Foundation Classes，IFC）格式的建筑信息模型（Building Information Modeling，BIM）项目，以及用于空间推理、依赖推断与调度研究的对应经处理的语义数据。每个BIM模型文件夹均同时包含原始IFC文件，以及从IFC模型中提取的结构化几何、空间与语义信息的多份CSV格式文件。 本数据集共包含以下三个BIM项目： 1. BIM_meeting_room_data 一款小型建筑BIM模型，代表典型会议室场景。 包含文件： BIM_meeting_room.ifc —— 原始IFC模型文件 ifc_family_data.csv —— 构件族/类型属性表 ifc_space_centroids_data.csv —— 空间单元质心坐标表 ifc_space_data.csv —— 几何与语义层面的空间属性表 lowest_points.csv —— 高程与放置参考点数据 spatial_relationships_detailed.csv —— 详细邻接、包含与交互关系表 2. BIM_residential_building_data 一款中型多房间住宅建筑模型。 包含文件： BIM_residential_building.ifc —— 原始IFC模型文件 ifc_family_data.csv —— 构件族与对象分类表 ifc_space_centroids_data.csv —— 所有房间的几何中心坐标表 ifc_space_data.csv —— IFC衍生的几何特征表 lowest_points.csv —— 基底高程与对齐信息表 spatial_relationships_detailed.csv —— 完整空间交互矩阵表 3. rac_advanced_sample_project_data 一款大型复杂BIM项目，常用于工业设计工作流。 包含文件： rac_advanced_sample_project.ifc —— 完整IFC模型文件 ifc_family_data.csv —— 构件类型与元数据表 ifc_space_centroids_data.csv —— 房间与区域的质心位置表 ifc_space_data.csv —— 扩展几何与语义特征表 lowest_points.csv —— 高程锚点数据 spatial_relationships_detailed.csv —— 多类型空间关系详情表 本数据集可支撑以下研究方向： 基于BIM的空间推理、图神经网络（Graph Neural Network，GNN）依赖推断、施工调度优化、自动化语义富集、IFC转图转换工作流 本数据集内的所有模型与CSV文件，均用于评估关联学术论文中提出的TSG–GNN–DLSA调度框架。