Digital Credit Scoring Dataverse is a curated open-access repository dedicated to advancing AI-driven, ethical, and explainable credit scoring frameworks, especially tailored for thin-file and underserved consumers in rural and semi-urban economies. This Dataverse hosts datasets, synthetic benchmarks, modeling workflows, code scripts, evaluation reports, and domain-specific descriptors that underpin data-driven financial inclusion research. It integrates alternative data sources such as mobile transaction records, digital utility payments, behavioral attributes, and remote sensing proxies for livelihood and risk profiling. Rooted in fairness-aware modeling, multi-task learning, and responsible financial AI, the repository aligns with global mandates such as the World Bank’s Digital Financial Inclusion agenda (2025), IMF guidelines on Responsible AI in Finance, and the UN Sustainable Development Goals. All resources emphasize transparency, reproducibility, and equity in algorithmic decision-making. The repository also includes support materials such as data dictionaries, ethical model cards, usage protocols, and evaluation metrics relevant to creditworthiness prediction and sustainability-linked assessments, including carbon scoring. Keywords: Digital Credit, Credit Scoring, Alternative Data, Thin-File Consumers, Machine Learning, Financial Inclusion, ESG, Explainable AI (XAI), Responsible AI, Fairness in AI, Multi-Task Models, Carbon-Aware Scoring.