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aograsp_dataset_utils/README.md

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 # AO-Grasp dataset
 
-The AO-Grasp dataset contains 78,000 6 DoF parallel jaw grasps on 84 articulated object instances across 7 categires 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 generated 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.
+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 generated 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