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--- |
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task_categories: |
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- question-answering |
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language: |
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- en |
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tags: |
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- biology |
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- bioinformatics |
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- data-analysis |
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- data-science |
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- agent |
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license: mit |
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pretty_name: DSBio |
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--- |
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## DSBio: Scientific Analysis Tasks |
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DSBio is a suite of **90 expert-derived bioinformatics tasks** constructed from |
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peer-reviewed academic publications and public scientific datasets. |
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These tasks are designed to evaluate whether agents can perform |
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domain-grounded scientific analysis, including: |
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- Interpreting high-dimensional biological data (e.g., single-cell and spatial omics) |
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- Understanding domain-specific terminology and conventions |
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- Executing multi-step analytical workflows with specialized libraries |
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## Attribution |
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If you use DSBio in academic work, please cite our paper: |
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``` |
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@misc{nie2026dsgymholisticframeworkevaluating, |
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title={DSGym: A Holistic Framework for Evaluating and Training Data Science Agents}, |
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author={Fan Nie and Junlin Wang and Harper Hua and Federico Bianchi and Yongchan Kwon and Zhenting Qi and Owen Queen and Shang Zhu and James Zou}, |
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year={2026}, |
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eprint={2601.16344}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.AI}, |
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url={https://arxiv.org/abs/2601.16344}, |
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} |
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``` |
