Update README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 task_categories:
 - image-classification
 size_categories:
-- 100K<n<1M
+- 10K<n<100K
 ---
 
 # Dataset Card for CIFAKE_autotrain_compatible
@@ -15,22 +15,22 @@ size_categories:
 
 ### Dataset Summary
 
-This is a copy of the CIFAKE dataset created by Dr Jordan J. Bird and Professor Ahmad Lotfi. See more information on the original data card on [Kaggle](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download)
+This is a copy of the CIFAKE dataset created by Dr Jordan J. Bird and Professor Ahmad Lotfi. See more information on the original data card on [Kaggle](https://www.kaggle.com/datasets/birdy654/cifake-real-and-ai-generated-synthetic-images?resource=download).
 
 The real images used are from CIFAR-10. The fake images were created by the authors using Stable Diffusion v1.4.
 
-This dataset removes the train/test structures in the original dataset to allow compatibility with HuggingFace's AutoTrain.
+This dataset removes the train/test structures in the original dataset to allow compatibility with HuggingFace's AutoTrain. It removes the test split images from the original dataset in both categories. All training images remain.
 
 ## Dataset Structure
 
 ### Data Fields
 
-Contains 120k total images per splits below.
+Contains 100k total images per splits below.
 
 ### Data Splits
-Real: 60k real images
+Real: 50k real images
 
-Fake: 60k AI generated images
+Fake: 50k AI generated images
 
 ## Additional Information