English Evaluation Dataset
Collection
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FinBen · NER
📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI
Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
| Task | named entity recognition |
| Original dataset | NER (Alvarado et al., 2015) |
| Evaluation metric | Entity F1 |
| Source license | CC BY-SA 3.0 |
| Language | en |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-ner", split="test")
print(ds[0])
Example prompt
In the sentences extracted from financial agreements in U.S. SEC filings, identify the named entities that represent a person ('PER'), an organization ('ORG'), or a location ('LOC'). The required answer format is: 'entity name, entity type'.
Text: Subordinated Loan Agreement - Silicium de Provence SAS and Evergreen Solar Inc . 7 - December 2007 [ HERBERT SMITH LOGO ] ..............................…
Dataset Structure
| Split | Rows |
|---|---|
train |
408 |
test |
98 |
valid |
103 |
| Field | Description |
|---|---|
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
label |
Gold label(s) |
text |
Raw input text (without instruction) |
License
The original data is released under CC BY-SA 3.0 (FinBen paper, Table 2).
Citation
Please cite FinBen and the original dataset (NER (Alvarado et al., 2015)):
@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},
}
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