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ICE-PIXIU · CNER(命名实体识别)

📄 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 named entity recognition (FinER)
Original dataset CNER (financial reports)
Source license Public
Language zh

Quick Start

from datasets import load_dataset

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

Example prompt

在从中国证券交易委员会备案的金融协议中摘录的句子中,指出其中明确代表个人(“PER”)、组织(“ORG”)或地点(“LOC”)的特定命名实体。答案的要求格式是:“实体名称,实体类型”,,只需要给出答案,不需要编号,不要输出其他内容。
Text:江苏金融租赁是经银监会批准成立的全国首批金融租赁公司之一,以融资租赁为主业,在国内医疗、教育、农机、环保等领域的数设备租赁服务上一直处于行业领先。

Dataset Structure

Split Rows
test 337
Field Description
id Example id
query Full instruction prompt given to the model
answer Gold answer / label text
text Raw input text (without instruction)
label Gold label(s)

License

The paper lists the original data as publicly available without a specific license (ICE-PIXIU paper, Table 1); refer to the original source for its terms.

Citation

Please cite ICE-PIXIU and the original dataset (CNER (financial 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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