English Evaluation Dataset
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FinBen · TAT-QA
📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI
Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
| Task | question answering |
| Original dataset | TATQA (Zhu et al., 2021) |
| Evaluation metric | F1, EM Accuracy |
| Source license | CC BY 4.0 |
| Language | en |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-tatqa", split="test")
print(ds[0])
Example prompt
Please answer the given financial question based on the context.
Context: |||Years Ended September 30,||
||2019|2018|2017|
|Fixed Price|$ 1,452.4|$ 1,146.2|$ 1,036.9|
|Other|44.1|56.7|70.8|
|Total sales|$1,496.5|$1,202.9|$1,107.7|
Sales by Contract Type: Substantially all of our contracts are fixed-price type contracts. Sales included in Other contract types represent cost plus and time and mat…
Dataset Structure
| Split | Rows |
|---|---|
test |
1,668 |
| Field | Description |
|---|---|
id |
Example id |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
text |
Raw input text (without instruction) |
License
The original data is released under CC BY 4.0 (the original TAT-QA repository; the FinBen table lists MIT, which is the license of the TAT-QA code).
Citation
Please cite FinBen and the original dataset (TATQA (Zhu et al., 2021)):
@misc{xie2024finbenholisticfinancialbenchmark,
title={FinBen: A Holistic Financial Benchmark for Large Language Models},
author={Qianqian Xie and Weiguang Han and Zhengyu Chen and Ruoyu Xiang and Xiao Zhang and Yueru He and Mengxi Xiao and Dong Li and Yongfu Dai and Duanyu Feng and Yijing Xu and Haoqiang Kang and Ziyan Kuang and Chenhan Yuan and Kailai Yang and Zheheng Luo and Tianlin Zhang and Zhiwei Liu and Guojun Xiong and Zhiyang Deng and Yuechen Jiang and Zhiyuan Yao and Haohang Li and Yangyang Yu and Gang Hu and Jiajia Huang and Xiao-Yang Liu and Alejandro Lopez-Lira and Benyou Wang and Yanzhao Lai and Hao Wang and Min Peng and Sophia Ananiadou and Jimin Huang},
year={2024},
eprint={2402.12659},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2402.12659},
}
@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},
}
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