NVIDIA and Elith Release Nemotron-Personas-Finance-Japan, a 9M-Record Synthetic Dataset for Japanese Financial AI
·2026.11.10 00:05
Key point
The CC BY 4.0 licensed dataset contains 50 fields per record and is built using NeMo SDG-PGMs and gemma-4-31B-it to support privacy-compliant financial AI training.
Details
- NVIDIA and Elith released Nemotron-Personas-Finance-Japan, a synthetic dataset of 9 million personas (1 million records with 9 personas each) designed for financial AI in Japan.
- The dataset includes 50 fields per record, covering demographics, household finances, and financial literacy, totaling approximately 1.5 billion tokens.
- Built using NeMo SDG-PGMs and gemma-4-31B-it, the data aligns with official Japanese government statistics while ensuring privacy by excluding real individual records.
- Released under the CC BY 4.0 license, it supports commercial use for building conversational agents, customer simulations, and bias testing in the financial sector.
Technical Specifications
- 9 million total personas with 50 fields per record, including 9 persona fields, 11 attributes, and 30 contextual fields.
- Approximately 950,000 unique names and over 1,600 occupation categories reflecting Japan's workforce.
- Generated using NeMo Data Designer for templating and validation, with NeMo SDG-PGMs for probabilistic graphical modeling.
Availability and Integration
- Available on Hugging Face under the CC BY 4.0 license for both commercial and non-commercial use.
- Designed to integrate with the NeMo User Sim framework for instant execution of user simulations.
- Released alongside Nemotron-PII-Japan, a companion dataset of 100,000 synthetic business documents for PII detection testing.
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