Datasets:

TheFinAI
/

zh-fe

pretty_name: ICE-PIXIU · FE（金融情感分析）
license: other
license_name: public-source
language:
  - zh
task_categories:
  - text-classification
size_categories:
  - 1K<n<10K
source_datasets:
  - extended
tags:
  - finance
  - benchmark
  - thefinai
  - ice-pixiu
  - flare
extra_gated_heading: Request access to ICE-PIXIU · FE（金融情感分析）
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 · FE（金融情感分析）

📄 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 sentiment analysis (FinSA)
Original dataset	FE (social texts)
Source license	Public
Language	zh

Quick Start

from datasets import load_dataset

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

Example prompt

这是从金融新闻中提取的一段声明，检查其中的情绪，指出它是积极，消极，还是中性的。只需给出"积极"、"中性"或"消极"。
Text: 试仓500股，看看门道！
Answer:

Dataset Structure

Split	Rows
`test`	2,020

Field	Description
`query`	Full instruction prompt given to the model
`text`	Raw input text (without instruction)
`id`	Example id
`answer`	Gold answer / label text
`gold`	Index of the gold label in `choices`
`choices`	Label space

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 (FE (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},
}