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ICE-PIXIU · 20CCKS(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 20CCKS (news, reports)
Source license CC BY-SA 4.0
Language zh

Quick Start

from datasets import load_dataset

ds = load_dataset("TheFinAI/zh-20ccks", split="test")
print(ds[0])

Example prompt

在这个任务中,请根据以下金融文本,找出事件类型以及对应主体。需要注意的是文本中只有一个事件,你需要以:'事件类型, 事件主体'的格式给出你的答案,其中事件类型应该是['投诉维权', '资产负面', '高管负面', '实控人股东变更', '涉嫌违法', '实际控制人涉诉仲裁', '财务造假', '资金账户风险', '涉嫌传销', '股票转让-股权受让', '商业信息泄露', '失联跑路', '重组失败', '债务重组', '实际控制人变更', '履行连带担保责任', '财务信息造假', '涉嫌非法集资', '业绩下滑', '资金紧张', '债务违约', '提现困难', '歇业停业', '业务资产重组', '交易违规', '涉嫌欺诈', '不能履职']中的一个。
Text:.  证券时报记者 刘灿邦  新疆生产建设兵团的国资国企改革正迎来一轮高潮,新赛股份、百花村、ST中基三家兵团国资上市公司…

Dataset Structure

Split Rows
test 9,159
Field Description
answer Gold answer / label text
text Raw input text (without instruction)
query Full instruction prompt given to the model
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 (20CCKS (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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