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README.md

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-# Dataset Card: Harvard-FairSeg
+# Dataset Card: FairSeg
 
 ## Dataset Summary
 
-Harvard-FairSeg is a large-scale ophthalmology dataset for studying **fairness in medical image segmentation**. It contains 10,000 SLO fundus images with pixel-wise optic disc and cup segmentation masks, paired with comprehensive demographic annotations. The dataset is designed to benchmark and improve demographic equity in segmentation models, including foundation models such as SAM (Segment Anything Model).
+FairSeg is a large-scale ophthalmology dataset for studying **fairness in medical image segmentation**. It contains 10,000 SLO fundus images with pixel-wise optic disc and cup segmentation masks, paired with comprehensive demographic annotations. The dataset is designed to benchmark and improve demographic equity in segmentation models, including foundation models such as SAM (Segment Anything Model).
 
 This dataset was introduced at ICLR 2024: [FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling](https://openreview.net/pdf?id=qNrJJZAKI3).