physicl-community/bedroom-tidying-robot-manipulation-training-set-next-pack-93682a70-a19b80d2

Bedroom furniture perception — attic & flat-ceiling rooms

Training datapack to improve a robot perception model on bedroom scenes furnished with a double bed, two nightstands, a dressing table and a wardrobe, across two configurations: attic/sloped-ceiling bedrooms (skylight windows) and flat-ceiling bedrooms. 30 renders at 1024x1024 with RGB plus albedo, metric depth and world-space OpenGL normals, per-frame annotations enabled and each environment's authored lighting. Supports navigation, obstacle avoidance, object detection, grasping and manipulation.

This dataset mirrors public data-pack render outputs from Physicl.

Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are uploaded as downloaded unless optional PNG recompression is enabled by the sync operator.

Additional render passes are exposed as URL columns, including .exr passes such as depth_metric that the dataset viewer cannot preview but that are downloadable from /data. The metadata column is the Core renderOutput.metadata value serialized as JSON, without Hugging Face-specific enrichment.

Dataset repo: https://huggingface.co/datasets/physicl-community/bedroom-tidying-robot-manipulation-training-set-next-pack-93682a70-a19b80d2