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license: mit |
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## FinanceMath |
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[**🌐 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) |
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The data and code for the paper [FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains](https://arxiv.org/abs/2311.09797). |
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**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. |
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<p align="center"> |
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<img src="overview.png" width="80%"> |
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</p> |
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## FinanceMath Dataset |
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All the data examples were divided into two subsets: *validation* and *test*. |
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- **validation**: 200 examples used for model development, validation, or for those with limited computing resources. |
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- **test**: 1000 examples for standard evaluation. We will not publicly release the annotated solution and answer for the test set. |
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You can download this dataset by the following command: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("yale-nlp/FinanceMath") |
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# print the first example on the validation set |
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print(dataset["validation"][0]) |
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# print the first example on the test set |
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print(dataset["test"][0]) |
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``` |
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The dataset is provided in json format and contains the following attributes: |
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``` |
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{ |
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"question_id": [string] The question id, |
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"question": [string] The question text, |
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"tables": [list] List of Markdown-format tables associated with the question, |
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"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, |
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"ground_truth": [float] Executed result of `python solution`, rounded to three decimal places, |
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"topic": [string] The related financial area of the question, |
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} |
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``` |
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## Contact |
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For any issues or questions, kindly email us at: Yilun Zhao ([email protected]). |
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## Citation |
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If you use the **FinanceMath** dataset in your work, please kindly cite the paper: |
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``` |
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@misc{zhao2024financemath, |
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title={FinanceMath: Knowledge-Intensive Math Reasoning in Finance Domains}, |
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author={Yilun Zhao and Hongjun Liu and Yitao Long and Rui Zhang and Chen Zhao and Arman Cohan}, |
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year={2024}, |
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eprint={2311.09797}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2311.09797}, |
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} |
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``` |
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