Update README.md

README.md

@@ -16,4 +16,7 @@ This benchmark is built upon a collection of widely used and publicly available
 
 This benchmark is adopted to evaluate the **multimodal continual learning** ability of **unified generation and understanding MLLMs**.
 
-Specific information please kindly refer to our code (https://github.com/JingyangQiao/MAGE) and paper (Coming Soon).
+Specific information please kindly refer to our code (https://github.com/JingyangQiao/MAGE) and paper (Coming Soon).
+
+## Acknowledgement
+Some datasets (VQAv2, OCR-VQA, RefCOCO and ImageNet) in this benchmark are modified versions of: - **[CoIN]** by [Chen et al.] ([https://huggingface.co/datasets/Zacks-Chen/CoIN]), available under CC-BY-4.0. Modifications include adaptation and integration with new data to form a new benchmark. Full attribution to the original authors is maintained. We thank for the authors have made the contributions to the open-source community.