Dataset · Hugging Face

FuhaiLiAiLab/Target-QA

Name: Target-QA
Creator: FuhaiLiAiLab
Keywords: task_categories:question-answering, task_categories:text-generation, task_ids:extractive-qa, task_ids:text2text-generation, source_datasets:depmap, source_datasets:biomedgraphica, language:en, size_categories:n<1K, format:csv, modality:tabular, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars

🎯 Target-QA: The First QA Dataset Benchmarking Target Priorization Based on DepMap 📑 Dataset Summary Target-QA is derived from the DepMap multi-omics and CRISPR screening cohorts, harmonized via BioMedGraphica.It enables multi-modal reasoning by combining numeric evidence, topological knowledge and language context for CRISPR target prioritization. This dataset supports the training and… See the full description on the dataset page: https://huggingface.co/datasets/FuhaiLiAiLab/Target-QA.

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Author / organization	FuhaiLiAiLab
Downloads	247 (as reported by Hugging Face)
Likes	0
Created	29 May 2025
Last updated at source	3 October 2025

bioinformaticsgraph-mlprecision-medicine

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mradermacher/GALAX-GGUFModel · used to train
mradermacher/GALAX-i1-GGUFModel · used to train

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16 Oct 2026 Description: 🎯 Target-QA: The First QA Dataset Benchmarking Target Priorization Based on DepMap 📑 Dataset Summary Target-QA is derived from the DepMap multi-omics and CRISPR screening cohorts, harmonized via BioMedGraphica.It enables multi-modal reaso → 🎯 Target-QA: The First QA Dataset Benchmarking Target Priorization Based on DepMap 📑 Dataset Summary Target-QA is derived from the DepMap multi-omics and CRISPR screening cohorts, harmonized via BioMedGraphica.It enables multi-modal reaso

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