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ICE-PIXIU · NSP
📄 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 | FinNJ |
| Original dataset | NSP (social texts) |
| Source license | Public |
| Language | zh |
Quick Start
from datasets import load_dataset
ds = load_dataset("TheFinAI/zh-nsp", split="test")
print(ds[0])
Example prompt
对于给出的金融新闻或社交媒体文本及其中包含的实体,你需要判断该文本中是否包含有针对所给实体的负面消息,只需回答"有"或者"无"。
Context: 【山东荣成处非办提示风险:恒昌汇财、纳觅财务等8家公司未提交备案材料】5月21日,有自媒体报道称,山东省威海市荣成市防范和处理非法集资工作领导小组办公室(下称荣成市处非办)于2018年5月18日发布风险提示,点名8家网贷机构未向荣成市金融监管(分享自@凤凰网财经)http://t.cn/R3kIaz5??
实体:恒昌汇财;纳觅财务
Answer:
Dataset Structure
| Split | Rows |
|---|---|
test |
500 |
| Field | Description |
|---|---|
choices |
Label space |
id |
Example id |
text |
Raw input text (without instruction) |
gold |
Index of the gold label in choices |
query |
Full instruction prompt given to the model |
answer |
Gold answer / label text |
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 (NSP (social texts)):
@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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