Data supporting figures and tables in Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning

<b>Overview</b>This dataset supports the findings of the research titled <i>“Reimagining Electrical Diagrams in Construction: Automated Symbol Detection and Wiring Design and Generation with Deep Learning.”</i><br>The study presents a fully automated framework that digitises complex electrical diagrams through two main components:<b>Symbol Recognition:</b> A YOLOv8-based deep learning model trained to recognise 30 electrical symbol classes in industrial diagrams.<b>Automated Wiring Design:</b> A modified A* pathfinding algorithm that generates orthogonal wiring between recognised symbols, reducing total wire length by 44% compared to traditional methods.The dataset includes preprocessing experiments such as <b>data augmentation (AUG)</b> and <b>low-intensity sampling (LINS)</b> to improve detection performance and mitigate class imbalance.<b>Datasets Included</b>This data bundle contains the primary files used to produce figures and tables within the manuscript, including:<b>Symbol distribution and augmentation statistics</b> (Table 1).<b>Model performance metrics across preprocessing experiments (YOLOv7 and YOLOv8)</b> (Tables 3–5).<b>Wiring algorithm evaluation results</b> comparing the multiline plotter and modified A* methods (Table 6).<b>Hardware and software configuration details</b> (Table 2).<b>Examples of detected symbols, wiring paths, and recognition visualisations</b> (Figures 1–7).Each table is provided in CSV format, mapping data files directly to their corresponding figure or table in the paper.<b>Use Cases</b>This dataset can be used for:Benchmarking YOLO-based models for electrical symbol recognition in high-resolution engineering diagrams.Studying the impact of class imbalance, augmentation, and preprocessing techniques on detection accuracy.Evaluating automated wiring algorithms using modified A* search for layout optimisation.Reproducing experimental setups for symbol recognition and routing in industrial diagram analysis.