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README.md

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 # Procedural 3D Synthetic Shapes Dataset
 
 ## Overview
-This dataset contains 152,508 procedurally synthesized 3D shapes in order to help people better reproduce results for [Learning 3D Representations from Procedural 3D Programs](https://arxiv.org/abs/2411.17467). The shapes are created using a procedural 3D program that combines primitive shapes (e.g., cubes, spheres, and cylinders) and applies various transformations and augmentations to enhance geometric diversity.
+This dataset contains 152,508 procedurally synthesized 3D shapes in order to help people better reproduce results for [Semantic-Free Procedural 3D Shapes Are Surprisingly Good Teachers](https://arxiv.org/abs/2411.17467). The shapes are created using a procedural 3D program that combines primitive shapes (e.g., cubes, spheres, and cylinders) and applies various transformations and augmentations to enhance geometric diversity.
 
 Our dataset is collected based on recent works [Xie et al. (2024)](https://desaixie.github.io/lrm-zero/), and we utilized procedure generated data in self-supervised setting. Each 3D shape is represented by uniformly sampled surface points, making it a versatile resource for pretraining models for tasks such as masked point cloud completion, shape classification, and more.