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README.md

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 This dataset was presented in the paper: [SurgMLLMBench: A Multimodal Large Language Model Benchmark Dataset for Surgical Scene Understanding](https://huggingface.co/papers/2511.21339).
 
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+<img src="./fig/mavis_overview.png" width="60%" height="60%" style="margin-left: auto; margin-right: auto; display: block;"/>
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 ## Dataset Overview
 
-*MAVIS* is a microsurgical dataset comprising 19 videos of artificial vascular anastomosis procedures performed by three expert microsurgeons at College of Medicine, Korea University, Republic of Korea.  
+*MAVIS* is a microsurgical dataset comprising 19 videos of artificial vascular anastomosis procedures performed by three expert microsurgeons at *College of Medicine, Korea University*, Republic of Korea.  
 For each video frame, it provides:
 
 - **Pixel-level segmentation** of seven tool categories
 - **Frame-level workflow annotations**: surgical stage, phase, and step
 
 This dataset supports research on surgical tool segmentation and surgical workflow recognition in microsurgical environments.
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+This dataset was developed by the *Korea Institute of Science and Technology (KIST)* in collaboration with the *College of Medicine, Korea University*.
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 ## Data Collection
 
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       primaryClass={cs.CV},
       url={https://arxiv.org/abs/2511.21339}, 
 }
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+## Acknowledgment
+This work was supported by the Technology Innovation Program (No. RS-2024-00443054) grant funded by the Korea government (the Ministry of Trade, Industry & Energy (MOTIE)). 
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+- **Project Name:** Development of a Supermicrosurgical Robot System for Sub-0.8mm Vessel Anastomosis through Human-Robot Autonomous Collaboration in Surgical Workflow Recognition
+- **Project Number:** RS-2024-00443054