Update README.md

README.md

@@ -28,10 +28,10 @@ You can use following codes to download the dataset：
 git lfs install
 git clone https://huggingface.co/datasets/InfImagine/FakeImageDataset
 ```
-You can use following codes to extract the files in each subfolder (take the *SDv15R-CC1M* subfolder in ImageData/train/SDv15R-CC1M as an example)：
+You can use following codes to extract the files in each subfolder (take the *IF-CC95K* subfolder in ImageData/val/IF-CC95K as an example)：
 ```shell
-cat SDv15R-CC1M.tar.gz.* > SDv15R-CC1M.tar.gz
-tar -xvf SDv15R-CC1M.tar.gz
+cat IF-CC95K.tar.gz.* > IF-CC95K.tar.gz
+tar -xvf IF-CC95K.tar.gz
 ```
 
 ## Dataset Summary
@@ -45,17 +45,28 @@ It was built on StableDiffusion v1.5, IF and StyleGAN3.
 FakeImageDataset is intended to be primarly used as a pretraining dataset for detecting fake images.
 
 ## Sub Dataset
-### Fake2M Dataset
+### Training Dataset (Fake2M)
 
 | Dataset     | SD-V1.5Real-dpms-25 | IF-V1.0-dpms++-25 | StyleGAN3     |
-| ----------- | :-----------:       | :-----------:     | :-----------: |
+| :----------- | :-----------:       | :-----------:     | :-----------: |
 | Generator   | Diffusion           | Diffusion         | GAN           |
 | Numbers     | 1M                  | 1M                | 87K           |
 | Resolution  | 512                 | 256               | (>=512)       |
 | Caption     | CC3M-Train          | CC3M-Train        | -             |
-| ImageData Path     | ImageData/train/SDv15R-CC1M          | ImageData/train/IF-CC1M        | ImageData/train/stylegan3-80K             |
+| ImageData Path     | ImageData/train/SDv15R-CC1M | ImageData/train/IFv1-CC1M | ImageData/train/stylegan3-80K |
 | MetaData Path     | MetaData/train/SDv15R-CC1M.csv          | MetaData/train/IF-CC1M.csv        | MetaData/train/stylegan3-80K.csv             |
 
+### Validation Dataset (MPBench)
+
+| Dataset     | SDv15               | SDv21             | IF            | Cogview2      | StyleGAN3     | Midjourneyv5  |
+| :---------- | :-----------:       | :-----------:     | :-----------: | :-----------: | :-----------: | :-----------: |
+| Generator   | Diffusion           | Diffusion         | Diffusion     | AR            | GAN           | -             |
+| Numbers     | 30K                 | 15K               | 95K           | 22K           | 60K           | 5K            |
+| Resolution  | 512                 | 512               | 256           | 480           | (>=512)       | (>=512)       |
+| Caption     | CC15K-val           | CC15K-val         | CC15K-val     | CC15K-val     | -             | -             |
+| ImageData Path | ImageData/val/SDv15-CC30K | ImageData/val/SDv21-CC15K | ImageData/val/IF-CC95K | ImageData/val/cogview2-22K | ImageData/val/stylegan3-60K | ImageData/val/Midjourneyv5-5K|
+| MetaData Path  | MetaData/val/SDv15-CC30K.csv| MetaData/val/SDv21-CC15K.csv | MetaData/val/IF-CC95K.csv | MetaData/val/cogview2-22K.csv | MetaData/val/stylegan3-60K.csv | MetaData/val/Midjourneyv5-5K.csv |
+
 # News
 * [2023/07] We open source the [Sentry-Image repository](https://github.com/Inf-imagine/Sentry) and [Sentry-Image Demo & Leaderboard](http://sentry.infimagine.com/). 
 * [2023/07] We open source the [Sentry-Image dataset](https://huggingface.co/datasets/InfImagine/FakeImageDataset).