Construction of a Japanese Financial Benchmark for Large Language Models

Battle Count: 84

While focused on Japanese finance, the benchmark could be valuable for assessing language models' capabilities in financial contexts, potentially applicable to quantitative trading strategies involving text analysis

The benchmark implementation is straightforward, but creating domain-specific tasks and evaluating multiple models can be time-consuming

The benchmark and performance results are publicly available on GitHub, enhancing reproducibility