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README.md
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@@ -20,7 +20,7 @@ RAG-Instructis a method for generating diverse and high-quality RAG instruction
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Using this approach, we constructed [RAG-Instruct](https://huggingface.co/datasets/FreedomIntelligence/RAG-Instruct), covering a wide range of RAG scenarios and tasks.
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Our RAG-Instruct-Llama3-3B is trained on [RAG-Instruct
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| Model | WQA (acc) | PQA (acc) | TQA (acc) | OBQA (EM) | Pub (EM) | ARC (EM) | 2WIKI (acc) | HotP (acc) | MSQ (acc) | CFQA (EM) | PubMed (EM) |
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Using this approach, we constructed [RAG-Instruct](https://huggingface.co/datasets/FreedomIntelligence/RAG-Instruct), covering a wide range of RAG scenarios and tasks.
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Our RAG-Instruct-Llama3-3B 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.
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| Model | WQA (acc) | PQA (acc) | TQA (acc) | OBQA (EM) | Pub (EM) | ARC (EM) | 2WIKI (acc) | HotP (acc) | MSQ (acc) | CFQA (EM) | PubMed (EM) |
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