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Author: xhuang31

RAG/index.html

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-            <p><a href="https://github.com/DEEP-PolyU/Awesome-GraphRAG" class="btn btn-primary">Read our survey for more introduction to RAG for LLM customization & reasoning.</a></p>
+            <p><a href="https://github.com/DEEP-PolyU/Awesome-GraphRAG" class="btn btn-primary">Read our survey for more details.</a></p>
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     <p>
-       GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation.<br>
-        GraphRAG-Bench contains 1,018 college-level question spans 16 disciplines, e.g., computer vision, computer networks, human-computer interaction, AI ethics, etc., featuring the ability of conceptual understanding, e.g., "Given [theorem] A and B, prove [conclusion] C", complex algorithmic programming, e.g., coding with interlinked function calls, and mathematical computation, e.g., "Given [Input], [Conv1], [MaxPool], [FC], calculate the output volume dimensions."<br>
+        GraphRAG-Bench contains 1,018 college-level question spans 16 CS disciplines, e.g., computer vision, computer networks, human-computer interaction, AI ethics, etc., featuring the ability of conceptual understanding, e.g., "Given [theorem] A and B, prove [conclusion] C", complex algorithmic programming, e.g., coding with interlinked function calls, and mathematical computation, e.g., "Given [Input], [Conv1], [MaxPool], [FC], calculate the output volume dimensions."<br>
         GraphRAG-Bench contains five types of diverse questions to thoroughly evaluate different aspects of reasoning, including true-or-false (TF), multiple-choice (MC), multi-select (MS), fill-in-blank (FB), and open-ended (OE).<br>
-        Link to huggingface of dataset: <a href="https://huggingface.co/datasets/Awesome-GraphRAG/GraphRAG-Bench" >https://huggingface.co/datasets/Awesome-GraphRAG/GraphRAG-Bench<a>
+        Download <a href="https://huggingface.co/datasets/Awesome-GraphRAG/GraphRAG-Bench" >GraphRAG_Education dataset<a> now!
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