Datasets:
| pretty_name: chABSA raw annotations (Japanese) | |
| license: cc-by-4.0 | |
| language: | |
| - ja | |
| task_categories: | |
| - text-classification | |
| tags: | |
| - finance | |
| - benchmark | |
| - thefinai | |
| - multifinben | |
| extra_gated_heading: Request access to chABSA raw annotations (Japanese) | |
| extra_gated_description: chABSA raw annotations (Japanese) 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 its license and to cite the MultiFinBen paper 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 paper: checkbox | |
| # chABSA raw annotations (Japanese) | |
| 📄 [Paper](https://arxiv.org/abs/2506.14028) · 💻 [Code](https://github.com/xueqingpeng/MultiFinBen) · 🌐 [The Fin AI](https://thefin.ai) | |
| > Part of **MultiFinBen** — *MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application* ([arXiv:2506.14028](https://arxiv.org/abs/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](https://huggingface.co/datasets/TheFinAI/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 | |
| ```bibtex | |
| @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}, | |
| } | |
| ``` | |