Fino1 / Fin-o1 β financial reasoning
Collection
Reasoning-enhanced financial LLMs, training data and evaluation sets from Fino1 (arXiv:2502.08127). β’ 16 items β’ Updated
ConvFinQA β structured entries is released by The Fin AI for research. Access is granted automatically after you complete this short form.
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π Paper Β· π» Code Β· π The Fin AI
Used in Fino1 β Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance (arXiv:2502.08127). Formerly
TheFinAI/CONVFINQA_train(the old name redirects here).
ConvFinQA (Chen et al., 2022) as structured entries (one record per dialogue). ConvFinQA is MIT-licensed.
| Task | multi-turn numerical QA (raw entries) |
| Language | en |
| License | mit |
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-convfinqa-entries", split="test")
print(ds[0])
| Split | Rows |
|---|---|
train |
11,104 |
val |
1,490 |
test |
1,490 |
Columns: id, entries
@misc{qian2025fino1transferabilityreasoningenhancedllms,
title={Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance},
author={Lingfei Qian and Weipeng Zhou and Yan Wang and Xueqing Peng and Han Yi and Yilun Zhao and Jimin Huang and Qianqian Xie and Jian-yun Nie},
year={2025},
eprint={2502.08127},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2502.08127},
}