Update README.md

README.md

@@ -20,6 +20,7 @@ All images depict **physical 3D objects** that would be manipulated by a robotic
 - Robotic arm vertical axis (40 values)
 
 The dataset contains **1,036,800 images** at a resolution of **64×64 pixels**, representing the full Cartesian product of these factors. All factors are **identical** to those used in the realistic and real-world versions of MPI3D, enabling direct comparisons between different levels of simulation fidelity.
+![Dataset Visualization](https://huggingface.co/datasets/randall-lab/mpi3d-toy/resolve/main/toy1.gif)
 
 ## Dataset Source
 - **Homepage**: [https://github.com/rr-learning/disentanglement_dataset](https://github.com/rr-learning/disentanglement_dataset)
@@ -27,7 +28,6 @@ The dataset contains **1,036,800 images** at a resolution of **64×64 pixels**,
 - **Paper**: Muhammad Waleed Gondal et al. _On the Transfer of Inductive Bias from Simulation to the Real World: A New Disentanglement Dataset_. NeurIPS 2019.
 
 ## Dataset Structure
-
 |Factors|Possible Values|
 |---|---|
 |object_color|white=0, green=1, red=2, blue=3, brown=4, olive=5|