Update README.md

README.md

@@ -187,9 +187,9 @@ The following instruction datasets were used for the instruction tuning.
       The first-turn user instructions were translated into Japanese via DeepL machine translation, and the assistant responses were generated using the Llama 3.1 405B Instruct model. Rejection sampling (n=6) was applied, with Llama 3.1 70B Instruct serving as a judge.
     - As implied by the dataset name, conversations that contain personally identifiable information (PII) or template-based user instructions have been removed. Duplicate instuctions have also been removed.
   - `filtered-magpie-ultra-ja`
-    - A Japanese variant of the `filtered-magpie-ultra-en` dataset, machine-translated into Japanese using the Gemma 2 27B IT.
+    - A Japanese variant of the `filtered-magpie-ultra-en` dataset, machine-translated into Japanese using the [gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it).
   - `gemma-magpie`
-    - Japanese Q&A dataset on diverse topics, generated using prompts with specific category words, with answers by Gemma 2 27B IT, heuristically filtered for quality and length.
+    - A Japanese synthetic Q&A dataset from scratch, generated using [gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it). User instructions were created with prompts specific to each topic, and the assistant responses were generated for these instructions. The conversations were then heuristically filtered for quality and length.
 - English
   - `lmsys-chat-1m-synth-en-wo-pii-and-template-instructions`
     - Similar to the `lmsys-chat-1m-synth-ja-wo-pii-and-template-instructions`, but this version uses the original English user instructions. The assistant responses were generated in English as well. Rejection sampling was not applied in this version.