Update README.md

README.md

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 The Real-World Distribution Shifts (RWDS) dataset is a suite of three novel domain generalisation benchmarking datasets that focus on humanitarian and climate change applications. These datasets enable the investigation of spatial domain shifts in satellite imagery-based object detection under real-world scenarios.
 
-RWDS addresses the lack of standardised benchmark datasets for assessing object detection under realistic domain generalisation scenarios. The datasets evaluate model robustness when target distributions differ from source data, particularly focusing on spatial domain shifts caused by climate zones, geographic regions, and disaster events.
+RWDS addresses the lack of standardised benchmark datasets for assessing object detection under realistic domain generalisation scenarios. The datasets evaluate model robustness when target distributions differ from source data, particularly focusing on disaster assessment and climate applications.
 
 ### 🏆 Supported Tasks and Leaderboards
 
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 ### 📄 Dataset Curators
 
-Sara A. Al-Emadi, Yin Yang, Ferda Ofli (Qatar Computing Research Institute & Hamad Bin Khalifa University)
+Sara A. Al-Emadi, Yin Yang, Ferda Ofli (Qatar Computing Research Institute & College of Science and Engineering, Hamad Bin Khalifa University)
 
 ### 📚 Licensing Information