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- ## Data Folders
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - imagesTr: training images (#404)
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  - labelsTr: training segmentation masks (#404)
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  - imagesTs: testing images (#103)
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  - labelsTs: testing segmentation masks (#103)
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- ## Data Split
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  - `subInfo_train.xlsx`: list of training data
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  - `subInfo_test.xlsx`: list of testing data
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  - `kneeSideInfo.csv`: a file containing knee side information, used in CartiMorph Toolbox
 
 
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+ ## :rocket: Dataset: **OAIZIB-CM**
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+ | Source | link |
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+ | ------------ | ------------------------------------------------------------ |
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+ | Google Drive | [here](https://drive.google.com/drive/folders/13_afAKSH7ZMOI_Nk2gfoihbJKwafw1l9?usp=share_link) |
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+ | Huggingface | [here](https://huggingface.co/datasets/YongchengYAO/OAIZIB-CM/tree/main) |
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+ If you use our preprocessed data, please note that the manual segmentation annotations come from this work:
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+ - Automated Segmentation of Knee Bone and Cartilage combining Statistical Shape Knowledge and Convolutional Neural Networks: Data from the Osteoarthritis Initiative (https://doi.org/10.1016/j.media.2018.11.009)
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+ ## Download from Huggingface
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+ ```bash
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+ #!/bin/bash
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+ pip install huggingface-hub[cli]
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+ huggingface-cli login --token $HF_TOKEN
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+ ```
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+ ```python
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+ # python
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+ from huggingface_hub import snapshot_download
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+ snapshot_download(repo_id="YongchengYAO/OAIZIB-CM", repo_type='dataset', local_dir="/your/local/folder")
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+ ```
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+ ## Files
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+ ### Images & Labels
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  - imagesTr: training images (#404)
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  - labelsTr: training segmentation masks (#404)
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  - imagesTs: testing images (#103)
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  - labelsTs: testing segmentation masks (#103)
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+ ### Data Split & Info
 
 
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  - `subInfo_train.xlsx`: list of training data
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  - `subInfo_test.xlsx`: list of testing data
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  - `kneeSideInfo.csv`: a file containing knee side information, used in CartiMorph Toolbox
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+