SOURCE-LINKED INTELLIGENCE
FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences
Machine learning research in financial services is limited by the scarcity of representative open-source datasets. Existing resources are often narrowly focused on a single modality or task and fail to reflect the structured, multimodal, and dynamic nature inherent to many problems in financial services. In this paper, we introduce FINESSE, a Financial Event Sequence Simulation Environment, an agent-based simulation framework for generating synthetic, structured datasets composed of multiple interdependent event streams. Each stream corresponds to a distinct financial behavior such as transact
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T20:24:09.000Z
First collected: 2026-09-20T19:12:12.556Z. This is not the publication date.