AV_SStruct313

Dedication:This dataset is respectfully dedicated to Imam Mahdi (peace be upon him), about whom I wish to speak in every language... even mathematics.Learn more about Imam Mahdi here: https://www.example.com/ImamMahdi Dataset Overview:The AV_SStruct313 dataset consists of 313 samples derived from real 3D reinforced concrete frame buildings constructed in Iran. It is designed for predicting cross-sectional dimensions (width and height) of beams and columns in reinforced concrete structures using graph-based representations. Dataset Structure:- Each sample represents a single building and is provided in graph format.- Each sample includes three Excel files: 1. features.xlsx: Node features for each structural element (42 features per element) 2. labels.xlsx: Ground truth labels (Width and Height) for each element 3. edges.xlsx: Graph connections between nodes (Source_Node_ID, Target_Node_ID) Test and Training Split:- 59 test samples are publicly available for research purposes.- The remaining 254 training samples are available upon official request from verified academic institutions. Access to Full Dataset:- Researchers must submit a brief research proposal describing their intended study.- By receiving the full dataset, researchers agree to: - Preserve intellectual property rights - Not publish the raw dataset in publications - Properly cite the dataset - Share research results back with the dataset maintainers References:- For detailed information on features, data organization, and data distribution, refer to the article: "Representation of Structural Features in Reinforced Concrete Buildings for the Prediction of Beam and Column Dimensions Using Graph Neural Network" Contact:- Email: [e-mail]- Official Eitaa messaging: https://eitaa.com/AvgooonAdmin License:- CC BY-NC 4.0