Update README.md

README.md

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 This dataset is designed to enhance Liveness Detection models by simulating Wrapped 3D Attacks — a more advanced version of 3D Print Attacks, where facial prints include 3D elements and additional attributes. It is particularly useful for iBeta Level 2 certification and anti-spoofing model training
 
 ## Dataset summary
-- Dataset Size: ~2k videos shoot on 20 IDs demonstrating various spoofing attacks
+- Dataset Size: ~4k videos shoot on 20 IDs demonstrating various spoofing attacks
 - Active Liveness Features: Includes zoom-in and zoom-out to enhance training scenarios
 - Attributes: Different hairstyles, glasses, wigs and beards to enhance diversity
 - Variability: 3 indoor locations with different types of lighting: from warm to cold