tumor-vqa/DeepTumorVQA_2.0
DeepTumorVQA v2 3D abdominal-CT diagnostic Visual Question Answering benchmark with 42 clinical subtypes and 438K total QA pairs (10K curated benchmark + 428K training pool). Includes pre-extracted 2D and video modalities, 20K agent training trajectories with tool-use traces, and a paper-locked leaderboard. Resources ๐ Paper (arXiv) https://arxiv.org/abs/2605.09679 ๐ป Code (GitHub) https://github.com/Schuture/DeepTumorVQA ๐ค Dataset (this page)โฆ See the full description on the dataset page: https://huggingface.co/datasets/tumor-vqa/DeepTumorVQA_2.0.
| Author / organization | tumor-vqa |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 11K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 3 May 2026 |
| Last updated at source | 25 May 2026 |
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- 17 Oct 2026 Description: DeepTumorVQA v2 3D abdominal-CT diagnostic Visual Question Answering benchmark with 42 clinical subtypes and 438K total QA pairs (10K curated benchmark + 428K training pool). Includes pre-extracted 2D and video modalities, 20K agent trainin โ DeepTumorVQA v2 3D abdominal-CT diagnostic Visual Question Answering benchmark with 42 clinical subtypes and 438K total QA pairs (10K curated benchmark + 428K training pool). Includes pre-extracted 2D and video modalities, 20K agent trainin
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