Update README.md

aograsp_dataset_utils/README.md

@@ -1,10 +1,10 @@
-# AO-Grasp dataset [coming soon]
+# AO-Grasp dataset
 
 The AO-Grasp dataset contains 78,000 6 DoF parallel jaw grasps on 84 articulated object instances across 7 categories from the PartNet-Mobility dataset. It contains grasps for each object in 10 joint states: 1 closed state and 9 randomly-sampled open states. For each object state, we provide the full point clouds and partial point clouds captured from 20 randomly-sampled camera viewpoints, as well as part segmentation masks. Additionally, we include the pre-processed, PartNet-Mobility objects we used to generate data. We have pre-processed these instances by running V-HACD on their meshes to obtain convex meshes, which we find result in better collision geometries in PyBullet.
 
 ## Downloading the AO-Grasp dataset
 
-[COMING SOON]
+Fill out [this form](https://forms.gle/ksdUzmsuwUYzc3uG8) to download the AO-Grasp dataset and pre-processed object meshes. Note that the form will require you to sign into a Google account. 
 
 ## Contents of the AO-Grasp dataset