English Evaluation Dataset
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FinBen · MA (M&A deal completeness)
📄 Paper · 💻 Code · 🏆 Leaderboard · 🌐 The Fin AI
Part of FinBen — FinBen: A Holistic Financial Benchmark for Large Language Models (arXiv:2402.12659).
| Task | deal completeness classification |
| Original dataset | MA (Yang et al., 2020) |
| Evaluation metric | F1, Accuracy |
| Source license | Public |
| Language | en |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/en-ma", split="test")
print(ds[0])
Example prompt
In this task, you will be given Mergers and Acquisitions (M&A) news articles or tweets. Your task is to classify each article or tweet based on whether the mentioned deal was completed or remained a rumour. Your response should be a single word - either 'complete' or 'rumour' - representing the outcome of the deal mentioned in the provided text.
Text: A tweet by StockTradersNet suggesting Berkshir…
Dataset Structure
| Split | Rows |
|---|---|
test |
500 |
| 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 |
License
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.
Citation
Please cite FinBen and the original dataset (MA (Yang et al., 2020)):
@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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