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| pretty_name: ICE-PIXIU · CNER(命名实体识别) | |
| license: other | |
| license_name: public-source | |
| language: | |
| - zh | |
| task_categories: | |
| - token-classification | |
| size_categories: | |
| - n<1K | |
| source_datasets: | |
| - extended | |
| tags: | |
| - finance | |
| - benchmark | |
| - thefinai | |
| - ice-pixiu | |
| - flare | |
| extra_gated_heading: Request access to ICE-PIXIU · CNER(命名实体识别) | |
| extra_gated_description: This ICE-PIXIU task is released by The Fin AI for research. Access is granted automatically after you complete this short form. | |
| extra_gated_button_content: Agree and access | |
| extra_gated_prompt: By accessing this dataset you agree to the license of the original source (Public) and to cite the ICE-PIXIU paper and the original dataset in any resulting publication. | |
| extra_gated_fields: | |
| Full name: text | |
| Affiliation: text | |
| Country: country | |
| Intended use: | |
| type: select | |
| options: | |
| - Research | |
| - Education | |
| - Commercial evaluation | |
| - Other | |
| I agree to the terms above and will cite the papers: checkbox | |
| # ICE-PIXIU · CNER(命名实体识别) | |
| 📄 [Paper](https://arxiv.org/abs/2403.06249) · 🌐 [The Fin AI](https://thefin.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](https://arxiv.org/abs/2403.06249)). | |
| | | | | |
| |---|---| | |
| | Task | financial named entity recognition (FinER) | | |
| | Original dataset | CNER (financial reports) | | |
| | Source license | Public | | |
| | Language | zh | | |
| ## Quick Start | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset("TheFinAI/zh-ner", split="test") | |
| print(ds[0]) | |
| ``` | |
| ## Example prompt | |
| ```text | |
| 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)): | |
| ```bibtex | |
| @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}, | |
| } | |
| ``` | |