"Heuristically Calibrated Construction Waste Dataset for SDG-9"

"This dataset presents a comprehensive collection of construction waste and cost-related data aligned with Sustainable Development Goal 9 (Industry, Innovation, and Infrastructure). The dataset is developed using a hybrid methodology that combines real-world observations from Indian construction sites with heuristically calibrated synthetic data to address sparsity and imbalance in raw measurements.It includes structured information on material usage, waste generation, cost distribution, and project-level parameters, enabling analysis of efficiency, waste minimization, and cost optimization in construction workflows. To preserve real-world fidelity, synthetic data points are generated and weighted using domain-informed heuristic scoring, ensuring alignment with observed annual cost and waste trends.The dataset is particularly suited for applications in predictive modeling, resource optimization, sustainability assessment, and decision-support systems in infrastructure development. By bridging the gap between limited field data and scalable analytics, this dataset provides a reliable foundation for research in sustainable construction and smart infrastructure systems."