---
license: mit
---
## FinanceMath
[**🌐 Homepage**](https://financemath-acl2024.github.io/) | [**🤗 Dataset**](https://huggingface.co/datasets/yale-nlp/FinanceMath) | [**📖 arXiv**](https://arxiv.org/abs/2311.09797) | [**GitHub**](https://github.com/yale-nlp/FinanceMath)

The data and code for the paper [FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains](https://arxiv.org/abs/2311.09797). 
**FinanceMath** is a knowledge-intensive dataset focused on mathematical reasoning within the domain of finance. It requires the model to comprehend specialized financial terminology and to interpret tabular data presented in the questions. 

<p align="center">
<img src="overview.png" width="80%">
</p>

## FinanceMath Dataset
All the data examples were divided into two subsets: *validation* and *test*.

- **validation**: 200 examples used for model development, validation, or for those with limited computing resources.
- **test**: 1000 examples for standard evaluation. We will not publicly release the annotated solution and answer for the test set.

You can download this dataset by the following command:

```python
from datasets import load_dataset

dataset = load_dataset("yale-nlp/FinanceMath")

# print the first example on the validation set
print(dataset["validation"][0])

# print the first example on the test set
print(dataset["test"][0])
```

The dataset is provided in json format and contains the following attributes:

```
{
    "question_id": [string] The question id,
    "question": [string] The question text,
    "tables": [list] List of Markdown-format tables associated with the question, 
    "python_solution": [string] Python-format and executable solution by financial experts. The code is written in a clear and executable format, with well-named variables and a detailed explanation,
    "ground_truth": [float] Executed result of `python solution`, rounded to three decimal places,
    "topic": [string] The related financial area of the question,
}
```

## Contact
For any issues or questions, kindly email us at: Yilun Zhao (yilun.zhao@yale.edu).

## Citation

If you use the **FinanceMath** dataset in your work, please kindly cite the paper:

```
@misc{zhao2024financemath,
      title={FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains}, 
      author={Yilun Zhao and Hongjun Liu and Yitao Long and Rui Zhang and Chen Zhao and Arman Cohan},
      year={2024},
      eprint={2311.09797},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2311.09797}, 
}
```