English Evaluation Dataset
Collection
37 items • Updated • 10
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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 | numeric labeling |
| Original dataset | FNXL (Sharma et al., 2023) |
| Evaluation metric | F1, EM Accuracy |
| Source license | Public |
| Language | en |
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-fnxl", split="test")
print(ds[0])
In the task of Financial Numeric Extreme Labelling (FNXL), your job is to identify and label the semantic role of each token in a sentence. The labels can include O, B-BusinessCombinationContingentConsiderationArrangementsRangeOfOutcomesValueHigh, B-VariableInterestEntityOwnershipPercentage, B-GainLossOnDispositionOfAssets1, B-IndefiniteLivedIntangibleAssetsExcludingGoodwill, B-MarketingAndAdverti…
| Split | Rows |
|---|---|
test |
318 |
| Field | Description |
|---|---|
id |
Example id |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
text |
Raw input text (without instruction) |
label |
Gold label(s) |
token |
The paper lists the original data as publicly available without a specific license (FinBen paper, Table 2); refer to the original source for its terms.
Please cite FinBen and the original dataset (FNXL (Sharma et al., 2023)):
@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},
}