Update README.md

README.md

@@ -2,6 +2,7 @@
 license: cc-by-4.0
 task_categories:
 - image-classification
+pretty_name: Hierarchical Abstraction Image Dataset
 ---
 
 # [BMVC2025] An Exploratory Study on Abstract Images and Visual Representations Learned from Them
@@ -75,11 +76,9 @@ We name the folder to show the abstract information:
 ## Subset details
 
 **HAID-MiniImageNet**  
-
-Derived from MiniImageNet. Contains ~60,000 images across 100 classes. Abstraction levels: **10, 30, 50, 100, 500, 1000** shapes, each contains mode **0 and 1**. 
+Derived from MiniImageNet. Contains 60,000 images across 100 classes. Abstraction levels: **10, 30, 50, 100, 500, 1000** shapes (**Please note that the 500 and 1000 shapes are in the zip file of  `HAID_MiniImageNet_500+1000.zip`**), each contains mode **0 and 1**.
 
 **HAID-Caltech-256**  
-
 Derived from Caltech-256. Abstraction levels: **10, 30, 50, 100** shapes, each contains mode **0 and 1**. 
 
 **HAID-CIFAR-10**  
@@ -133,5 +132,4 @@ year      = {2025}
 ## Contact & project page
 
 * Project page : `https://fronik-lihaotian.github.io/HAID_page/`.
-* For questions, bug reports, or collaborations, please open an issue in this repository or contact the authors listed in the paper.
-
+* For questions, bug reports, or collaborations, please open an issue in this repository or contact the authors listed in the paper.