Update README.md

README.md

@@ -17,9 +17,9 @@ RAG-Instruct is a method for generating diverse and high-quality RAG instruction
 - **Five RAG paradigms**, which represent diverse query-document relationships to enhance model generalization across tasks.
 - **Instruction simulation**, which enriches instruction diversity and quality by utilizing the strengths of existing instruction datasets.
 
-Using this approach, we constructed a 40K instruction dataset from Wikipedia, covering a wide range of RAG scenarios and tasks. 
+Using this approach, we constructed [RAG-Instruct](https://huggingface.co/datasets/FreedomIntelligence/RAG-Instruct), covering a wide range of RAG scenarios and tasks. 
 
-Our RAG-Instruct significantly enhances the RAG ability of LLMs, demonstrating remarkable improvements in RAG performance across various tasks.
+Our RAG-Instruct-Llama3-8B is trained on [RAG-Instruct](https://huggingface.co/datasets/FreedomIntelligence/RAG-Instruct) data, which significantly enhances the RAG ability of LLMs, demonstrating remarkable improvements in RAG performance across various tasks.
 
 | Model                          | WQA (acc) | PQA (acc) | TQA (acc) | OBQA (EM) | Pub (EM) | ARC (EM) | 2WIKI (acc) | HotP (acc) | MSQ (acc) | CFQA (EM) | PubMed (EM) |
 |--------------------------------|-----------|-----------|-----------|-----------|----------|----------|-------------|------------|-----------|-----------|-------------|