Update README.md

README.md

@@ -25,7 +25,7 @@ Hi, I am Magpie 🐦, your efficient and high-quality synthetic data generation
 
 ## [🧭 Click here for full dataset navigation (SFT and DPO)](https://github.com/magpie-align/magpie/blob/main/navigation.md)
 
-## Raw Datasets
+<!-- ## Raw Datasets
 |Model Name | Dataset | Type | Description |
 |-------------|:-------|:-------|:-------|
 | [Qwen2.5 72B Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) | [Magpie-Qwen2.5-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2.5-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Qwen2.5 72B Instruct.
@@ -37,7 +37,7 @@ Hi, I am Magpie 🐦, your efficient and high-quality synthetic data generation
 | [Phi-3 Medium Instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) | [Magpie-Phi3-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Phi-3 Medium Instruct.
 | [Gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) | [Magpie-Gemma2-Pro-534K](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-534K-v0.1) | SFT | 534K conversations built with Gemma-2-27b-it.
 | [Llama 3.1 405B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-405B-Instruct) | [Magpie-Ultra-v0.1](https://huggingface.co/datasets/argilla/magpie-ultra-v0.1) | SFT | [Argilla] 50K Raw conversations built with Meta Llama 3.1 405B.
-
+ -->
 ### Recommended Filtered Datasets
 
 Here are some filtered datasets made by the authors, which are utilized in our [Magpie-Align models](https://huggingface.co/collections/Magpie-Align/magpie-models-668c4a8eea81ccc0db130bdf). We also encourage you to [create and apply your own filters to customize datasets](https://github.com/magpie-align/magpie?tab=readme-ov-file#4-design-and-apply-your-filter).