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Fino1_Reasoning_Path_FinQA

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魔搭社区2025-12-05 更新2025-03-08 收录
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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
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