Unified Dataset for Rural Credit and Carbon Scoring

This dataset was developed as an extension of Dr. Deepa Shukla’s PhD thesis titled “Machine Learning Algorithms for Credit Scoring of Thin-File Consumers” at Jaipur National University. It includes 5,000 synthetically generated records representing rural Indian households, combining financial, psychometric, soil health, and satellite-derived features. Designed for multi-task learning and responsible AI modeling, this dataset supports inclusive credit scoring and soil organic carbon (SOC) prediction. It promotes reproducible research aligned with ESG and SDG goals in climate-smart agriculture and digital finance.