|
--- |
|
license: cc-by-4.0 |
|
task_categories: |
|
- question-answering |
|
language: |
|
- en |
|
--- |
|
|
|
- **Homepage:** [FinQA](https://finqasite.github.io/) |
|
- **Repository:** [GitHub](https://github.com/czyssrs/FinQA) |
|
- **Paper:** [FinQA: A Dataset of Numerical Reasoning over Financial Data](https://arxiv.org/abs/2109.00122) |
|
|
|
### Dataset Summary |
|
FinQA is a large-scale dataset with 2.8k financial reports for 8k Q&A pairs to study numerical reasoning with structured and unstructured evidence. |
|
|
|
### Citation Information |
|
|
|
``` |
|
@inproceedings{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 R and others}, |
|
booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing}, |
|
pages={3697--3711}, |
|
year={2021} |
|
} |
|
``` |
|
|