Chinese Evaluation Datasets
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This ICE-PIXIU task is released by The Fin AI for research. Access is granted automatically after you complete this short form.
By accessing this dataset you agree to the license of the original source (CC BY-SA 4.0) and to cite the ICE-PIXIU paper and the original dataset in any resulting publication.
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📄 Paper · 🌐 The Fin AI
Part of ICE-PIXIU — No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks (arXiv:2403.06249).
| Task | financial event detection (FinED) |
| Original dataset | 19CCKS (social texts) |
| Source license | CC BY-SA 4.0 |
| Language | zh |
from datasets import load_dataset
ds = load_dataset("TheFinAI/zh-19ccks", split="test")
print(ds[0])
从一则关于金融公司融资或资本运作的报道中,辨明所有的事件类型及其对应主体,要避免繁琐的编号。以:'事件类型, 事件主体'的形式呈现你的答案,事件类型是这其中的一个:['信批违规', '重组失败', '产品违规', '涉嫌非法集资', '涉嫌欺诈', '财务造假', '歇业停业', '提现困难', '实控人股东变更', '业绩下滑', '高管负面', '资金账户风险', '评级调整', '交易违规', '不能履职', '投诉维权', '资产负面', '涉嫌违法', '涉嫌传销', '失联跑路']。
Text:劲嘉股份(002191)因虚假陈述遭证监会处罚浩云科技(300448)股东披露减持计划
| Split | Rows |
|---|---|
test |
2,936 |
| Field | Description |
|---|---|
text |
Raw input text (without instruction) |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
id |
Example id |
The original data is released under CC BY-SA 4.0 (ICE-PIXIU paper, Table 1).
Please cite ICE-PIXIU and the original dataset (19CCKS (social texts)):
@misc{hu2024languageislandunifyingchinese,
title={No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks},
author={Gang Hu and Ke Qin and Chenhan Yuan and Min Peng and Alejandro Lopez-Lira and Benyou Wang and Sophia Ananiadou and Jimin Huang and Qianqian Xie},
year={2024},
eprint={2403.06249},
archivePrefix={arXiv},
primaryClass={cs.CE},
url={https://arxiv.org/abs/2403.06249},
}