Improved descriptions (with some trivial fixes).

README.md

@@ -179,19 +179,19 @@ print(output[0].outputs[0].text)
 
 ### Instruction Tuning
 
-The following instruction datasets were used for the instruction tuning. 
+The following datasets were used for the instruction tuning.
+
 - Japanese
   - `lmsys-chat-1m-synth-ja-wo-pii-and-template-instructions`
-    - Single-turn Japanese synthetic instruction dataset derived from [lmsys-chat-1m](https://huggingface.co/datasets/lmsys/lmsys-chat-1m) dataset [\[Zhang+, ICLR24\]](https://openreview.net/forum?id=BOfDKxfwt0)).
-      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](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct) model. Rejection sampling (n=6) was applied, with [Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/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.
+    - Single-turn Japanese instruction dataset synthesized and derived from [lmsys-chat-1m](https://huggingface.co/datasets/lmsys/lmsys-chat-1m) [\[Zhang+, ICLR24\]](https://openreview.net/forum?id=BOfDKxfwt0)). First-turn user instructions were translated into Japanese via DeepL (machine translation), and assistant responses were generated using [Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct). [Llama-3.1-70B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-70B-Instruct) served as a judge for rejection sampling (n=6).
+   Conversations containing personally identifiable information (PII) and template-based user instructions were removed. Duplicate instructions were 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](https://huggingface.co/google/gemma-2-27b-it).
+    - A Japanese variant of the `filtered-magpie-ultra-en` dataset, translated into Japanese by [gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it).
   - `gemma-magpie`
-    - 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.
+    - A Japanese synthetic Q&A dataset from scratch, generated by [gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it). User instructions were created with prompts specific to each topic, and 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.
+    - The creation process is similar to `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 for this version.
   - `filtered-magpie-ultra-en`
     - A subset of the [magpie-ultra](https://huggingface.co/datasets/argilla/magpie-ultra-v0.1) dataset, developed following the MAGPIE recipe [\[Xu+, arXiv24\]](https://arxiv.org/abs/2406.08464) using [Llama-3.1-405B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct). This subset includes only samples rated as 'average,' 'good,' or 'excellent.'