spatialencoder full Full SpatialEncoder training dataset prepared on 2026 05 25. The original relative file layout under the local data root is preserved. Manifests and preparation stats are stored under metadata/spatialencoder full 20260525/ . Training items: CA 1M: 2966 hyperism: 560 ADT: 64 Manifest entries: 391760 Logical size excluding directory entries: 2044.28 GiB Directory entries: 64 Goal This dataset is intended to become the BOX DATA PATH / BOX DATA VAL PATH input tree used by SpatialEncoder training. After preparation, the training code should see: Use: 1. Download Install the Hugging Face CLI if needed: Download the dataset while preserving repository paths: The full dataset is about 2 TiB, so make sure the target filesystem has enough space before starting. 2. Expand Packed Add Ons If Present If the download contains archive files such as pickle.zip , hyperism train json.zip , or hyperism val json.zip , unzip them at the data root: If the download contains hyperism required shards/ .tar , expand those shards into the Hyperism frame directory: Skip this step for files that are already expanded in the final tree. 3. Check Required Files Run these checks before training:…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy