Update README.md

README.md

@@ -18,10 +18,10 @@ The Brain Hemorrhage Segmentation Dataset (BHSD) is a 3D multi-class segmentatio
 
 ## Data Contents
 This dataset includes the following two compressed files:
-- **label_192.zip**: Contains 192 volumes with pixel-level annotations (Files need to be suffixed nii.gz).
-- You can directly download it: wget https://huggingface.co/datasets/WuBiao/BHSD/resolve/main/label_192.zip
-- **unlabel_1980.zip**: Contains 1980 volumes of unannotated reconstructed data.
-- You can directly download it: wget https://huggingface.co/datasets/WuBiao/BHSD/resolve/main/unlabel_1980.zip
+- **MBH_train_label.zip**: Contains 192 volumes with pixel-level annotations (Files need to be suffixed nii.gz).
+- You can directly download it: wget https://huggingface.co/datasets/mbhseg/mbhseg24/blob/main/MBH_train_label.zip
+- **MBH_train_unlabel.zip**: Contains 1980 volumes of unannotated reconstructed data.
+- You can directly download it: wget https://huggingface.co/datasets/mbhseg/mbhseg24/blob/main/MBH_train_unlabel.zip
 
 ## Applications
 This dataset is primarily intended to support the use of deep learning techniques in medical image segmentation tasks, particularly for multi-class segmentation of intracranial hemorrhages. It can be used for supervised and semi-supervised ICH segmentation tasks, and we provide experimental results with state-of-the-art models as reference benchmarks.