MIT Releases FinanceGym, the Largest Finance-Agent Dataset with 59K+ Samples
MIT_CSAIL · x · 2026-08-25
MIT CSAIL researchers have released "FinanceGym," the largest finance-agent dataset to date, featuring over 59,000 samples across 37 roles and 40 apps/sites.
The data can be used for Reinforcement Finetuning or Supervised Finetuning of agentic models. It contains human-demonstrated trajectories with thinking traces, designed to teach agents financial work rather than just financial knowledge. Tests show that even Kimi K3 and Qwen 3.8 Max failed its test set.
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