Update dataset card

README.md

@@ -199,10 +199,9 @@ so each leaf folder holds only a handful of wheels and never approaches HuggingF
 limit. CPU wheels split by instruction tier (their primary axis); CUDA wheels group by toolkit version
 (their primary axis) with the CPU baseline carried in the filename.
 
-> **Migration in progress.** The reorganisation into this tree is still running. Many wheels (especially
-> upstream-mirrored and `≤0.3.19` builds) currently sit at the repository **root**, and the newest builds
-> under a `version/` folder. Everything is valid and installable wherever it sits — the `huggingface_hub`
-> snippet above and the **Files** tab search find a wheel regardless of its folder.
+> **Fully organised.** Every wheel lives under `os/arch/backend/version/`, and new builds are written there
+> automatically as they're produced. If you ever can't spot one by browsing, the `huggingface_hub` snippet
+> above and the **Files** tab search locate it by name regardless of folder.
 
 ### Programmatic listing
 
@@ -265,4 +264,4 @@ The non-mirror wheels are compiled automatically by a GitHub Actions "factory":
 
 *Maintained by [AIencoder](https://huggingface.co/AIencoder). Wheels are builds of
 [abetlen/llama-cpp-python](https://github.com/abetlen/llama-cpp-python); all credit for llama-cpp-python and
-llama.cpp to their authors.*
+llama.cpp to their authors.*