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## 📑 Dataset Summary
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**Target-QA** is derived from the **DepMap** multi-omics and CRISPR screening cohorts, harmonized via **[BioMedGraphica](https://huggingface.co/datasets/FuhaiLiAiLab/BioMedGraphica)**.
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It enables **multi-modal reasoning** by combining
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This dataset supports the training and benchmarking of **graph-augmented large language models (LLMs)**, such as **[GALAX](https://huggingface.co/FuhaiLiAiLab/GALAX)**, for reasoning across structured and unstructured biomedical information.
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- 🔗 Source code: [GitHub](https://github.com/FuhaiLiAiLab/GALAX)
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## 📑 Dataset Summary
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**Target-QA** is derived from the **DepMap** multi-omics and CRISPR screening cohorts, harmonized via **[BioMedGraphica](https://huggingface.co/datasets/FuhaiLiAiLab/BioMedGraphica)**.
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It enables **multi-modal reasoning** by combining numeric evidence, topological knowledge and language context for **CRISPR target prioritization**.
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This dataset supports the training and benchmarking of **graph-augmented large language models (LLMs)**, such as **[GALAX](https://huggingface.co/FuhaiLiAiLab/GALAX)**, for reasoning across structured and unstructured biomedical information.
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- 🔗 Source code: [GitHub](https://github.com/FuhaiLiAiLab/GALAX)
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