Update README.md

README.md

@@ -23,48 +23,32 @@ Hi, I am a magpie 🐦!
 
 **Questions?** Please contact [Zhangchen](mailto:zxu9@uw.edu) by email or raise an issue in [Github](https://github.com/magpie-align/magpie/issues/new/choose).
 
-## Dataset Navigation 🧭
+## [🧭 Click here for full dataset navigation (SFT and DPO)](https://github.com/magpie-align/magpie/blob/main/navigation.md)
 
-### [**Meta Llama 3.1**](https://huggingface.co/collections/meta-llama/llama-31-669fc079a0c406a149a5738f) (🌟 Flexible License! 🌟)
+## Raw Datasets
 |Model Name | Dataset | Type | Description |
 |-------------|:-------|:-------|:-------|
 | [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Meta Llama 3.1 70B.
-| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
-| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-500K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-500K-Filtered) | SFT | Apply a filter and select 500K high quality conversations.
-| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-MT-500K](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-MT-500K-v0.1) | SFT | Extend Magpie-Llama-3.1-Pro-500K-Filtered to multi-turn.
-| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-MT-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-MT-300K-Filtered) | SFT | Select 300K high quality multi-turn conversations from Magpie-Llama-3.1-Pro-MT-500K.
-| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-DPO-100K-v0.1) | DPO | DPO dataset via Best-of-N sampling and rewards.
-
-### [**Meta Llama 3**](https://huggingface.co/collections/meta-llama/meta-llama-3-66214712577ca38149ebb2b6)
-|Model Name | Dataset | Type | Description |
-|-------------|:-------|:-------|:-------|
 | [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Llama-3-Magpie-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Meta Llama 3 70B.
-| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
-| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-MT-300K](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-MT-300K-v0.1) | SFT | Select 300K difficult questions and extend to multi-turn conversations.
-| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-DPO-100K-v0.1) | DPO | DPO dataset via Best-of-N sampling and rewards.
 | [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-3M](https://huggingface.co/datasets/Magpie-Align/Llama-3-Magpie-Air-3M-v0.1) | SFT | 3M Raw conversations built with Meta Llama 3 8B.
-| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-300K-Filtered) | SFT | Apply a filter and select 300K high quality data.
-| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-MT-300K](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-MT-300K-v0.1) | SFT | Select 300K difficult questions and extend to multi-turn conversations.
-| [Llama 3 8B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) | [Magpie-Air-DPO-100K](https://huggingface.co/datasets/Magpie-Align/Magpie-Air-DPO-100K-v0.1) | DPO | DPO dataset via Best-of-N sampling and rewards.
-
-### [**Qwen2**](https://huggingface.co/collections/Qwen/qwen2-6659360b33528ced941e557f)
-|Model Name | Dataset | Type | Description |
-|-------------|:-------|:-------|:-------|
 | [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-1M](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-1M-v0.1) | SFT | 1M Raw conversations built with Qwen2 72B Instruct.
-| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
-| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-200K-Chinese](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese) | SFT | Apply a filter and select 200K high quality Chinese conversations.
-| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-200K-English](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-English) | SFT | Apply a filter and select 200K high quality English conversations.
 | [Qwen2 7B Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) | [Magpie-Qwen2-Air-3M](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Air-3M-v0.1) | SFT | 3M Raw conversations built with Qwen2 7B Instruct.
-| [Qwen2 7B Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) | [Magpie-Qwen2-Air-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen-Air-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
-
-### [**Phi-3**](https://huggingface.co/collections/microsoft/phi-3-6626e15e9585a200d2d761e3)
-|Model Name | Dataset | Type | Description |
-|-------------|:-------|:-------|:-------|
 | [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.
-| [Phi-3 Medium Instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) | [Magpie-Phi3-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Phi3-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations.
+| [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 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). 
+
+We've kept these datasets within the 200K-300K range for your convenience. We found this range represents a sweet spot balancing model performance and training time.
+
+The full list of filtered datasets can be found [here](https://github.com/magpie-align/magpie/blob/main/navigation.md).
 
-### [**Gemma-2**](https://huggingface.co/collections/google/gemma-2-release-667d6600fd5220e7b967f315) (🌟 Flexible License! 🌟)
 |Model Name | Dataset | Type | Description |
 |-------------|:-------|:-------|:-------|
-| [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.
-| [Gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) | [Magpie-Gemma2-Pro-200K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered) | SFT | Apply a filter and select 200K conversations.
+| [Llama 3.1 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) | [Magpie-Llama-3.1-Pro-MT-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Llama-3.1-Pro-MT-300K-Filtered) | SFT | (🌟 Flexible License! 🌟) Select 300K high quality multi-turn conversations from Magpie-Llama-3.1-Pro-MT-500K.
+| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-300K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-300K-Filtered) | SFT | Apply a filter and select 300K high quality conversations from Magpie-Pro-1M.
+| [Llama 3 70B Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) | [Magpie-Pro-MT-300K](https://huggingface.co/datasets/Magpie-Align/Magpie-Pro-MT-300K-v0.1) | SFT | Select 300K difficult questions from Magpie-Pro-1M and extend to multi-turn conversations.
+| [Qwen2 72B Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) | [Magpie-Qwen2-Pro-200K-Chinese](https://huggingface.co/datasets/Magpie-Align/Magpie-Qwen2-Pro-200K-Chinese) | SFT | Apply a filter and select 200K high quality Chinese conversations from Magpie-Qwen2-Pro-1M.
+| [Gemma-2-27b-it](https://huggingface.co/google/gemma-2-27b-it) | [Magpie-Gemma2-Pro-200K-Filtered](https://huggingface.co/datasets/Magpie-Align/Magpie-Gemma2-Pro-200K-Filtered) | SFT | (🌟 Flexible License! 🌟) Apply a filter and select 200K conversations from Magpie-Gemma2-Pro-534K.