FinBen & PIXIU — English financial evaluation
Collection
FinBen (arXiv:2402.12659) and PIXIU/FLARE (arXiv:2306.05443) English tasks, FinMA models and leaderboards. • 49 items • Updated • 10
This FinBen task is released by The Fin AI for research. Access is granted automatically after you complete this short form.
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📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI
Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
| Task | sentiment analysis |
| Original dataset | FPB (Malo et al., 2014) |
| Evaluation metric | F1, Accuracy |
| Source license | CC BY-SA 3.0 |
| Language | en |
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-fpb", split="test")
print(ds[0])
Analyze the sentiment of this statement extracted from a financial news article. Provide your answer as either negative, positive, or neutral.
Text: The new agreement , which expands a long-established cooperation between the companies , involves the transfer of certain engineering and documentation functions from Larox to Etteplan .
Answer:
| Split | Rows |
|---|---|
train |
3,100 |
validation |
776 |
test |
970 |
| Field | Description |
|---|---|
id |
Example id |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
text |
Raw input text (without instruction) |
choices |
Label space |
gold |
Index of the gold label in choices |
The original data is released under CC BY-SA 3.0 (FinBen paper, Table 2).
Please cite FinBen and the original dataset (FPB (Malo et al., 2014)):
@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},
}
@article{malo2014good,
title={Good debt or bad debt: Detecting semantic orientations in economic texts},
author={Malo, Pekka and Sinha, Ankur and Korhonen, Pekka and Wallenius, Jyrki and Takala, Pyry},
journal={Journal of the Association for Information Science and Technology},
volume={65}, number={4}, pages={782--796}, year={2014}
}