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  license: apache-2.0
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  task_categories:
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  - visual-question-answering
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- - medical-imaging
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  language:
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  - en
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  - zh
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  - radiology
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  - nuclear medicine
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  pretty_name: MetaStructAtlas
 
 
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  ---
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  # MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
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  **100,565 QA pairs**.
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-
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- The benchmark evaluates progressively increasing reasoning abilities.
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-
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-
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  ## Benchmark Structure
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  MetaStructVQA contains three reasoning levels.
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  Segmentation masks are derived from CT and transferred to PET space through registration.
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- Future versions may include:
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-
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- - lesion-level annotations
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- - additional PET tracers
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- - larger multi-center cohorts
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-
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- ## Citation
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- If you use MetaStructAtlas or MetaStructVQA, please cite:
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- @article{zheng2026metastructatlas,
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- title={MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT},
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- author={Zheng, Chenguang and Xue, Le and Zhang, Yichi and others},
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- journal={},
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- year={2026}
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- }
 
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  license: apache-2.0
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  task_categories:
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  - visual-question-answering
 
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  language:
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  - en
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  - zh
 
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  - radiology
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  - nuclear medicine
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  pretty_name: MetaStructAtlas
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+ # Dataset status
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+ private: false
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  ---
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  # MetaStructAtlas: A Grounded 3D Vision-Language Dataset and Benchmark for Functional and Structural Reasoning in Whole-Body PET/CT
 
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  **100,565 QA pairs**.
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  ## Benchmark Structure
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  MetaStructVQA contains three reasoning levels.
 
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  Segmentation masks are derived from CT and transferred to PET space through registration.
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+ ## Current Release Status
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+ 🚧 Under preparation
 
 
 
 
 
 
 
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+ The dataset repository currently provides documentation only.
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+ The full imaging dataset will become available after publication acceptance.