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README.md

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 ## Dataset Summary  
 
-**Target-QA** is a dataset constructed from the **DepMap** multi-omics and CRISPR screening cohorts, harmonized via **BioMedGraphica**.  
+**Target-QA** is a dataset constructed from the **DepMap** multi-omics and CRISPR screening cohorts, harmonized via **[BioMedGraphica](https://huggingface.co/datasets/FuhaiLiAiLab/BioMedGraphica)**.  
 It enables **multi-modal reasoning** by combining quantitative omics, biomedical knowledge graphs, and disease annotations for **CRISPR target prioritization**.  
 
-The dataset is designed for training and benchmarking **graph-augmented large language models (LLMs)**, such as **GALAX**, that reason over both structured and unstructured biological information.  
+The dataset is designed for training and benchmarking **graph-augmented large language models (LLMs)**, such as **GALAX**, that reason over both structured and unstructured biological information.
+And GALAX source code is available at [GitHub link](https://github.com/FuhaiLiAiLab/GALAX) and parameters is available at [HuggingFace repo](https://huggingface.co/FuhaiLiAiLab/GALAX).
 
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