Fino1 / Fin-o1 — financial reasoning
Collection
Reasoning-enhanced financial LLMs, training data and evaluation sets from Fino1 (arXiv:2502.08127). • 16 items • Updated
Datasets:
Tasks:
Question Answering
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Request access to ConvFinQA — reasoning-eval format
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ConvFinQA — reasoning-eval format
📄 Paper · 💻 Code · 🌐 The Fin AI
Used in Fino1 — Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance (arXiv:2502.08127). Formerly
TheFinAI/CONVFINQA_test(the old name redirects here).
ConvFinQA (Chen et al., 2022) in the verifiable-question format used in Fino1. FinBen format: en-convfinqa. Query/answer copy of the 1,490 test items: en-convfinqa-reasoning-test. ConvFinQA is MIT-licensed.
| Task | multi-turn numerical QA |
| Language | en |
| License | mit |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-convfinqa-reasoning", split="test")
print(ds[0])
| Split | Rows |
|---|---|
train |
11,104 |
val |
1,490 |
test |
1,490 |
Columns: id, Open-ended Verifiable Question, Ground-True Answer
Citation
@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},
}
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