Fino1_Reasoning_Path_FinQA
收藏魔搭社区2025-12-05 更新2025-03-08 收录
下载链接:
https://modelscope.cn/datasets/TheFinAI/Fino1_Reasoning_Path_FinQA
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资源简介:
Fino1 is a financial reasoning dataset based on **FinQA**, with **GPT-4o-generated reasoning paths** to enhance structured financial question answering.
For more details, please check our paper arxiv.org/abs/2502.08127.
### Source Data
#### Initial Data Collection and Normalization
The dataset originates from FinQA dataset.
### Annotations
#### Annotation Process
We add a prompt and create a reasoning process using GPT-4o for each question-answer pair.
## 💡 Citation
If you use this dataset in your research, please cite the original paper and our paper:
```bibtex
@article{chen2021finqa,
title={Finqa: A dataset of numerical reasoning over financial data},
author={Chen, Zhiyu and Chen, Wenhu and Smiley, Charese and Shah, Sameena and Borova, Iana and Langdon, Dylan and Moussa, Reema and Beane, Matt and Huang, Ting-Hao and Routledge, Bryan and others},
journal={arXiv preprint arXiv:2109.00122},
year={2021}
@article{qian2025fino1,
title={Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance},
author={Qian, Lingfei and Zhou, Weipeng and Wang, Yan and Peng, Xueqing and Huang, Jimin and Xie, Qianqian},
journal={arXiv preprint arXiv:2502.08127},
year={2025}
}
Fino1是一款基于FinQA的金融推理数据集,依托GPT-4o生成的推理路径以强化结构化金融问答能力。
如需了解更多细节,请查阅我们的论文:arxiv.org/abs/2502.08127。
### 源数据
#### 初始数据采集与标准化
本数据集源自FinQA数据集。
### 标注
#### 标注流程
我们为每一组问答对添加提示词,并通过GPT-4o生成对应的推理过程。
## 💡 引用要求
若您在研究中使用本数据集,请同时引用原论文与本团队的论文:
bibtex
@article{chen2021finqa,
title={Finqa: A dataset of numerical reasoning over financial data},
author={Chen, Zhiyu and Chen, Wenhu and Smiley, Charese and Shah, Sameena and Borova, Iana and Langdon, Dylan and Moussa, Reema and Beane, Matt and Huang, Ting-Hao and Routledge, Bryan and others},
journal={arXiv preprint arXiv:2109.00122},
year={2021}
@article{qian2025fino1,
title={Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance},
author={Qian, Lingfei and Zhou, Weipeng and Wang, Yan and Peng, Xueqing and Huang, Jimin and Xie, Qianqian},
journal={arXiv preprint arXiv:2502.08127},
year={2025}
}
提供机构:
maas
创建时间:
2025-03-03



