Datasets:

KIST-HARILAB
/

SurgMLLMBench

Tasks:

Visual Question Answering

Image Segmentation

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@@ -31,7 +31,7 @@ SurgMLLMBench integrates six surgical video datasets spanning multiple surgical
 - **EndoVis2018** (Robot-Assisted Surgery) – [Download here](https://endovissub2018-roboticscenesegmentation.grand-challenge.org)
 - **AutoLaparo** (Robot-Assisted Surgery) – [Download here](https://autolaparo.github.io)
 - **GraSP** (Robot-Assisted Surgery) – [Download here](https://github.com/BCV-Uniandes/GraSP)
-- **MISAW** (Micro-Surgical Training) – [Download here](https://www.synapse.org/MISAW)
 - **MAVIS** (Micro-Surgical Training) – [Download here](https://huggingface.co/datasets/KIST-HARILAB/MAVIS) *(Newly collected dataset)*
 These datasets collectively cover over 112 hours of surgical video and more than 560K annotated frames, providing rich supervision across multiple domains and procedures.

 - **EndoVis2018** (Robot-Assisted Surgery) – [Download here](https://endovissub2018-roboticscenesegmentation.grand-challenge.org)
 - **AutoLaparo** (Robot-Assisted Surgery) – [Download here](https://autolaparo.github.io)
 - **GraSP** (Robot-Assisted Surgery) – [Download here](https://github.com/BCV-Uniandes/GraSP)
+- **MISAW** (Micro-Surgical Training) – [Download here](https://www.synapse.org/MISAW) (Supplementary segmentation annotations – [Download here](https://huggingface.co/datasets/KIST-HARILAB/MISAW-Seg))
 - **MAVIS** (Micro-Surgical Training) – [Download here](https://huggingface.co/datasets/KIST-HARILAB/MAVIS) *(Newly collected dataset)*
 These datasets collectively cover over 112 hours of surgical video and more than 560K annotated frames, providing rich supervision across multiple domains and procedures.