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ICE-PIXIU · 19CCKS(事件检测)

📄 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

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/zh-19ccks", split="test")
print(ds[0])

Example prompt

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

Dataset Structure

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

License

The original data is released under CC BY-SA 4.0 (ICE-PIXIU paper, Table 1).

Citation

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},
}
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