Add task category and improve dataset card metadata

README.md

@@ -1,17 +1,24 @@
 ---
 license: apache-2.0
+task_categories:
+- image-segmentation
+tags:
+- medical
+- biology
 ---
 
-### Dataset Download
+# ACDC-PNG Dataset
 
-I created a convenient PNG-formatted version of the ACDC dataset.  
-This version was converted from the files provided in the SSL4MIS repository:  
-[SSL4MIS ACDC Version](https://github.com/HiLab-git/SSL4MIS/tree/master/data/ACDC)
- 
-If you use the dataset in your research, please make sure to cite the **original ACDC paper**.
+[Paper](https://arxiv.org/abs/2601.10124) | [Code](https://github.com/script-Yang/VQ-Seg)
+
+This repository contains a convenient PNG-formatted version of the ACDC dataset, primarily intended for semi-supervised medical image segmentation tasks. This version was converted from the files provided in the [SSL4MIS repository](https://github.com/HiLab-git/SSL4MIS/tree/master/data/ACDC).
+
+It is used and introduced in the paper: **VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation**.
 
 ### Dataset Structure
 
+The data is organized as follows:
+
 ```bash
 XXX/
 │
@@ -32,9 +39,21 @@ XXX/
     └── mask/                   # Test masks (optional)
 ```
 
-This dataset is introduced and used in the following paper:
+- **train-label**: Paired image–mask samples used for supervised segmentation training.
+- **train-unlabel**: Images without ground-truth annotations, utilized for semi-supervised learning.
+- **val**: Used to monitor and validate model performance during training.
+- **test**: Used for final evaluation and benchmarking.
 
-**VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation**  
-arXiv: https://arxiv.org/abs/2601.10124
+### Citation
+
+If you use this dataset or the VQ-Seg method in your research, please cite the following:
+
+```bibtex
+@inproceedings{yangvq,
+  title={VQ-Seg: Vector-Quantized Token Perturbation for Semi-Supervised Medical Image Segmentation},
+  author={Yang, Sicheng and Xing, Zhaohu and Zhu, Lei},
+  booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems}
+}
+```
 
-check: https://github.com/script-Yang/VQ-Seg
+Please also make sure to cite the **original ACDC paper**.