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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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