Datasets:
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README.md
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# EDINET-Bench
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π [Paper](https://
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EDINET-Bench is a Japanese financial benchmark designed to evaluate the performance of LLMs on challenging financial tasks including accounting fraud detection, earnings forecasting, and industry prediction.
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This dataset is built leveraging [EDINET](https://disclosure2.edinet-fsa.go.jp), a platform managed by the Financial Services Agency (FSA) of Japan that provides access to disclosure documents such as securities reports.
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- **June 9, 2025**: This dataset was originally released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Although section 1.7.3 of the Public Domain License (PDL) 1.0 states that it is compatible with CC BY 4.0, we have relicensed the dataset under PDL 1.0 to ensure strict consistency with the original licensing terms of the source data.
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## Resources
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- π**Paper**: Read our paper for detailed dataset construction pipeline and evaluation results at https://
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- ποΈ**Counstruction Code**: Create a new benchmark dataset at https://github.com/SakanaAI/edinet2dataset
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- π**Evaluation Code**: Evaluate the performance of models on EDINET-Bench at https://github.com/SakanaAI/EDINET-Bench
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```
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@misc{sugiura2025edinet,
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author
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title
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}
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```
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# EDINET-Bench
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π [Paper](https://arxiv.org/abs/2506.08762) | π [Blog](https://sakana.ai/edinet-bench/) | π§βπ» [Code](https://github.com/SakanaAI/EDINET-Bench)
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EDINET-Bench is a Japanese financial benchmark designed to evaluate the performance of LLMs on challenging financial tasks including accounting fraud detection, earnings forecasting, and industry prediction.
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This dataset is built leveraging [EDINET](https://disclosure2.edinet-fsa.go.jp), a platform managed by the Financial Services Agency (FSA) of Japan that provides access to disclosure documents such as securities reports.
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- **June 9, 2025**: This dataset was originally released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Although section 1.7.3 of the Public Domain License (PDL) 1.0 states that it is compatible with CC BY 4.0, we have relicensed the dataset under PDL 1.0 to ensure strict consistency with the original licensing terms of the source data.
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## Resources
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- π**Paper**: Read our paper for detailed dataset construction pipeline and evaluation results at https://arxiv.org/abs/2506.08762
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- ποΈ**Counstruction Code**: Create a new benchmark dataset at https://github.com/SakanaAI/edinet2dataset
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- π**Evaluation Code**: Evaluate the performance of models on EDINET-Bench at https://github.com/SakanaAI/EDINET-Bench
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```
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@misc{sugiura2025edinet,
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author={Issa Sugiura and Takashi Ishida and Taro Makino and Chieko Tazuke and Takanori Nakagawa and Kosuke Nakago and David Ha},
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title={{EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements}},
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year={2025},
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eprint={2506.08762},
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archivePrefix={arXiv},
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primaryClass={q-fin.ST},
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url={https://arxiv.org/abs/2506.08762},
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}
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```
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