Update README.md

README.md

@@ -139,7 +139,9 @@ dataset = load_dataset("faridlab/deepaction_v1", trust_remote_code=True)
 
 ## Data
 
-The data is structured into eight folders, corresponding to different text-to-video AI models. Each folder has 100 subfolders containing AI-generated videos. These subfolders correspond to action classes; all videos in a given subfolder were generated using the same prompt (see the list of prompts <a href=''>here</a>).
+The data is structured into seven folders corresponding to text-to-video AI models, each with 100 subfolders corresponding to human action classes. All videos in a given subfolder were generated using the same prompt (see the list of prompts <a href=''>here</a>).
+
+Included below are example videos generated using the prompt "a person taking a selfie". Note that, since each text-to-video AI model generates videos with different ratios and resolutions, these videos were normalized 512x512.
 
 <table class="video-table">
     <tr>