FinCoT

@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}
}

@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{chen2022convfinqa,
  title={Convfinqa: Exploring the chain of numerical reasoning in conversational finance question answering},
  author={Chen, Zhiyu and Li, Shiyang and Smiley, Charese and Ma, Zhiqiang and Shah, Sameena and Wang, William Yang},
  journal={arXiv preprint arXiv:2210.03849},
  year={2022}
}

@misc{zhu2021tatqaquestionansweringbenchmark,
      title={TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance}, 
      author={Fengbin Zhu and Wenqiang Lei and Youcheng Huang and Chao Wang and Shuo Zhang and Jiancheng Lv and Fuli Feng and Tat-Seng Chua},
      year={2021},
      eprint={2105.07624},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2105.07624}, 
}

@inproceedings{zhao2024docmath,
  title={DocMath-eval: Evaluating math reasoning capabilities of LLMs in understanding long and specialized documents},
  author={Zhao, Yilun and Long, Yitao and Liu, Hongjun and Kamoi, Ryo and Nan, Linyong and Chen, Lyuhao and Liu, Yixin and Tang, Xiangru and Zhang, Rui and Cohan, Arman},
  booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={16103--16120},
  year={2024}
}

@article{quan2024econlogicqa,
  title={Econlogicqa: A question-answering benchmark for evaluating large language models in economic sequential reasoning},
  author={Quan, Yinzhu and Liu, Zefang},
  journal={arXiv preprint arXiv:2405.07938},
  year={2024}
}

@inproceedings{krumdick2024bizbench,
  title={BizBench: A Quantitative Reasoning Benchmark for Business and Finance},
  author={Krumdick, Michael and Koncel-Kedziorski, Rik and Lai, Viet Dac and Reddy, Varshini and Lovering, Charles and Tanner, Chris},
  booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages={8309--8332},
  year={2024}
}

@article{reddy2024docfinqa,
  title={Docfinqa: A long-context financial reasoning dataset},
  author={Reddy, Varshini and Koncel-Kedziorski, Rik and Lai, Viet Dac and Krumdick, Michael and Lovering, Charles and Tanner, Chris},
  journal={arXiv preprint arXiv:2401.06915},
  year={2024}
}

## 📊 Structured Schema (Zero-Fabrication)
| Feature Key | Data Type |
| :--- | :--- |
| `Question` | `string` |
| `Reasoning_process` | `string` |
| `Final_response` | `string` |
| `Negative_reasoning_process` | `string` |
| `Negative_response` | `string` |

**Estimated Rows:** `9,186`