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Nemotron-Personas-Finance-Japan: A Synthetic Dataset Capturing Japan's Demographics and Financial Context

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Nemotron-Personas-Finance-Japan: A Synthetic Dataset Capturing Japan's Demographics and Financial Context

In the financial sector, the utilization of real-world data faces significant constraints due to strict privacy regulations, compliance requirements, and the need for advanced domain expertise. In this context, the development of agentic AI in the financial domain requires synthetic data capable of avoiding the risks of using real data while reflecting demographics, household structures, and asset statuses to reproduce diverse, realistic financial scenarios.

To address these challenges, Elith and NVIDIA have released Nemotron-Personas-Finance-Japan, a financial domain extension of the open-source persona dataset "Nemotron-Personas-Japan." To our knowledge, it is the first open persona dataset at million-record scale that pairs Japan’s official statistics with household finance and financial literacy data. Built upon official government statistics, this dataset was developed using NeMo SDG-PGMs, a probabilistic graphical model framework for synthetic data generation (SDG), and NeMo Data Designer, an enterprise synthetic data generation system. Furthermore, to enhance the practical utility of the dataset in financial use cases, it was designed by incorporating insights and feedback provided by leading domestic financial institutions and industry associations, including Sompo Japan, Tokio Marine Holdings, Bank of Fukuoka, Mizuho Financial Group, Meiji Yasuda Life Insurance, and the Financial Data Utilization Association (FDUA).

This dataset expands the environment where Japanese developers and enterprises can develop and evaluate AI tailored to local and industry requirements, without using real customer data. 0 license, it is available for commercial use. From building conversational agents to customer simulation and model evaluation, it supports practical financial AI development .



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