Update README.md

README.md

@@ -36,6 +36,8 @@ SurgMLLMBench integrates six surgical video datasets spanning multiple surgical
 
 These datasets collectively cover over 112 hours of surgical video and more than 560K annotated frames, providing rich supervision across multiple domains and procedures.
 
+This benchmark dataset was developed by the *Korea Institute of Science and Technology (KIST)*. The newly collected **MAVIS** dataset was developed in collaboration with the *College of Medicine, Korea University*.
+
 ## Unified Annotation Schema
 Because existing surgical datasets differ widely in taxonomy, task definitions, frame rates, resolutions, and annotation formats, SurgMLLMBench applies a comprehensive standardization pipeline:
 
@@ -227,4 +229,11 @@ If you use this dataset in your research, please cite:
       primaryClass={cs.CV},
       url={https://arxiv.org/abs/2511.21339}, 
 }
-```
+```
+
+
+## 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)). 
+
+- **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