Chinese Evaluation Datasets
Collection
28 items • Updated • 5
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 | 21CCKS (news, reports) |
| Source license | CC BY-SA 4.0 |
| Language | zh |
from datasets import load_dataset
ds = load_dataset("TheFinAI/zh-21ccks", split="test")
print(ds[0])
任务要求您从给定文本中提取出具有因果关系的事件类型以及它们对应的实体。请以'原因事件类型, 原因实体
结果事件类型, 结果实体'的形式回答,不要多余内容。
Text:上周后半周受到外盘原油价格下跌及整个金融市场偏空氛围影响,国内原油及化工品市场集体回调,PTA受到影响价格连续下挫,已经连续3日收阴线
| Split | Rows |
|---|---|
test |
1,400 |
| Field | Description |
|---|---|
id |
Example id |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
text |
Raw input text (without instruction) |
The original data is released under CC BY-SA 4.0 (ICE-PIXIU paper, Table 1).
Please cite ICE-PIXIU and the original dataset (21CCKS (news, reports)):
@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},
}