Update README.md

README.md

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 # TL; DR
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6550c4f27bbfce1878f5f280/vrQl8D8FV3vqUJYbPgsiG.png)
 
-Janus is a model trained using [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) as its base model. Janus has been trained on [Multifaceted Collection](), a preference dataset containing 192k unique system messages for aligning LLMs to diverse human preferences. Janus not only excels at generating personalized responses that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless.
+Janus is a model trained using [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) as its base model. Janus has been trained on [Multifaceted Collection](https://huggingface.co/datasets/kaist-ai/Multifaceted-Collection-SFT), a preference dataset containing 192k unique system messages for aligning LLMs to diverse human preferences. Janus not only excels at generating personalized responses that cater to various human preferences but is also adept at producing responses that are generally preferred for being helpful and harmless.
 
 # Model Details
 
@@ -30,7 +30,7 @@ Janus is a model trained using [Mistral-7B-v0.2](https://huggingface.co/mistral-
 - **Language(s) (NLP):** English
 - **License:** Apache 2.0
 - **Related Models:** [Janus-66k-7B]() [Janus-DPO-7B](), [Janus-ORPO-7B](), [Janus-RM-7B]()
-- **Training Data**: [Multifaceted Collection]()
+- **Training Datasets**: [Multifaceted-Collection-SFT](https://huggingface.co/datasets/kaist-ai/Multifaceted-Collection-SFT), [Multifaceted-Collection-DPO](https://huggingface.co/datasets/kaist-ai/Multifaceted-Collection-DPO), [Multifaceted-Collection-ORPO](https://huggingface.co/datasets/kaist-ai/Multifaceted-Collection-ORPO), [Multifaceted-Collection-RM](https://huggingface.co/datasets/kaist-ai/Multifaceted-Collection-RM)
 - **Resources for more information:**
   - [Research paper]()
   - [GitHub Repo](https://github.com/kaistAI/Janus)
@@ -79,6 +79,8 @@ decoded = tokenizer.batch_decode(output_ids, skip_special_tokens=True)
 print(decoded[0][len(input_str):])
 # Revolutionary Trends: How AI Is Redefining Efficiency and Accuracy in the Financial Realm
 ```
+To train Janus and evaluate the responses it generates, please refer to the [GitHub Repo](https://github.com/kaistAI/Janus).
+Additionally, refer to the [Multifaceted Bench](https://huggingface.co/datasets/kaist-ai/Multifaceted-Bench), which evaluates how well LLM generates personalized responses.
 # Training Details
 ## Training hyperparameters