MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
Paper • 2506.14028 • Published • 94
Datasets:
Request access to chABSA raw annotations (Japanese)
chABSA raw annotations (Japanese) is released by The Fin AI for research. Access is granted automatically after you complete this short form.
By accessing this dataset you agree to its license and to cite the MultiFinBen paper in any resulting publication.
Log in or Sign Up to review the conditions and access this dataset content.
chABSA raw annotations (Japanese)
📄 Paper · 💻 Code · 🌐 The Fin AI
Part of MultiFinBen — MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application (arXiv:2506.14028). Formerly
TheFinAI/jp-chABSA-0(the old name redirects here).
The original chABSA annotation files (one JSON per securities report). The processed version used in MultiFinBen is jp-chabsa.
| Task | aspect-based sentiment analysis (raw annotation files) |
| License | CC BY 4.0 |
| Language | ja |
Files
232 raw files (e.g. e00008_ann.json). Download with huggingface_hub.snapshot_download('TheFinAI/jp-chabsa-raw', repo_type='dataset').
Citation
@misc{peng2025multifinbenbenchmarkinglargelanguage,
title={MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application},
author={Xueqing Peng and Lingfei Qian and Yan Wang and Ruoyu Xiang and Yueru He and Yang Ren and Mingyang Jiang and Vincent Jim Zhang and Yuqing Guo and Jeff Zhao and Huan He and Yi Han and Yun Feng and Yuechen Jiang and Yupeng Cao and Haohang Li and Yangyang Yu and Xiaoyu Wang and Penglei Gao and Shengyuan Lin and Keyi Wang and Shanshan Yang and Yilun Zhao and Zhiwei Liu and Peng Lu and Jerry Huang and Suyuchen Wang and Triantafillos Papadopoulos and Polydoros Giannouris and Efstathia Soufleri and Nuo Chen and Zhiyang Deng and Heming Fu and Yijia Zhao and Mingquan Lin and Meikang Qiu and Kaleb E Smith and Arman Cohan and Xiao-Yang Liu and Jimin Huang and Guojun Xiong and Alejandro Lopez-Lira and Xi Chen and Junichi Tsujii and Jian-Yun Nie and Sophia Ananiadou and Qianqian Xie},
year={2025},
eprint={2506.14028},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2506.14028},
}
- Downloads last month
- 99