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ICE-PIXIU · 22CCKS(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 22CCKS (news, reports)
Source license CC BY-SA 4.0
Language zh

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/zh-22ccks", split="test")
print(ds[0])

Example prompt

请根据以下金融领域的文本信息,识别出所有的事件类型及其对应主体,不要编号,专注核心内容。并按照:'事件类型, 事件主体'的格式给出答案,其中事件类型限定于['实际控制人涉嫌违法', '出具虚假证明', '产品违约/不足额兑付', '审计师辞任', '债务违约', '在当地撤资', '退出市场', '当地招募员工', '保留意见', '股权融资失败', '外部信用评级上调', '停产停业', '行业排名下降', '挤兑', '公司摘帽', '停止接受新业务', '被列为失信被执行人', '交易异常', '发债利率高于同类', '产品召回', '贷款用途变更', '股权查封', '体制变化', '员工罢工示威', '财务报表更正', '进入新市场', '经营资质瑕疵', '资本充足不足', '重大资产损失', '在当地投资', '关闭分支机构', '债务重组', '被接管', '授信额度上升'…

Dataset Structure

Split Rows
test 11,829
Field Description
id Example id
query Full instruction prompt given to the model
text Raw input text (without instruction)
answer Gold answer / label text

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 (22CCKS (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},
}
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