Update README.md

README.md

@@ -198,6 +198,7 @@ For more details, please refer to the [codes](https://github.com/llm-jp/llm-jp-j
 [AnswerCarefully-Eval](https://www.anlp.jp/proceedings/annual_meeting/2025/pdf_dir/Q4-19.pdf) assesses the safety of Japanese language model outputs using the LLM-as-a-Judge approach, based on the test set from [llm-jp/AnswerCarefully](https://huggingface.co/datasets/llm-jp/AnswerCarefully).
 We evaluated the models using `gpt-4o-2024-08-06`.
 The scores represent the average values obtained from three rounds of inference and evaluation.
+For more details, please refer to the [codes](https://github.com/llm-jp/llm-jp-judge/tree/v1.0.0).
 
 | Model name | Score | Acceptance rate (%, ↑) | Violation rate (%, ↓) | 
 | :--- | ---: | ---: | ---: |