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| license: cc-by-nc-4.0 | |
| task_categories: | |
| - robotics | |
| tags: | |
| - lerobot | |
| - bigym | |
| - mujoco | |
| - 3d-gaussian-splatting | |
| - imitation-learning | |
| pretty_name: Canonical BiGym 3DGS Cutlery 32 A800 Collection | |
| extra_gated_heading: DL3DV-10K terms acknowledgement required | |
| extra_gated_prompt: The observation videos contain a DL3DV-derived 3DGS kitchen shell. Access is limited to users who have accepted the DL3DV-10K Terms of Use and will use the data only for non-commercial research or education. | |
| extra_gated_fields: | |
| Full name: text | |
| Affiliation: text | |
| I have accepted the DL3DV-10K Terms of Use: checkbox | |
| I will use this material only for non-commercial research or education: checkbox | |
| # Canonical BiGym 3DGS Cutlery 32 dataset | |
| This repository now has one canonical dataset identity only: | |
| `bigym-3dgs-light-floor-replay-plan-v2-20260802/dishwasher_unload_cutlery_long` | |
| It is the A800/CUDA LeRobot v3 collection selected by the owner, not the previously published Radeon/A800-parity split-file package. | |
| ## Verified structure | |
| - Task: `DishwasherUnloadCutleryLong` | |
| - Episodes: 32 (`episode_index` 0–31) | |
| - Successful saved episodes: 32/32, reward `1.0` | |
| - Frames: 21,018 at 20 fps | |
| - State/action: finite float32 vectors of length 16 | |
| - Data: one merged Parquet file containing all 32 episodes | |
| - Episode metadata: one merged Parquet file containing 32 rows | |
| - Video: three merged H.264 streams, each 21,018 frames and 1,050.9 seconds | |
| - Cameras: head 848×480, left wrist 640×480, right wrist 640×480 | |
| - Full local decode: passed for all three streams | |
| One Parquet or MP4 chunk does not mean one episode. Episode boundaries are defined by `episode_index` and `meta/episodes`. | |
| ## Canonical shell | |
| Use only [`eustance/amd-bigym-3dgs-kitchen-shell`](https://huggingface.co/datasets/eustance/amd-bigym-3dgs-kitchen-shell), scene hash `90e70328...8947`. The shell PLY and alignment hashes are locked by the dataset `run-receipt.json`. | |
| ## Status boundary | |
| Package structure, numerical integrity, replay rewards, strict renderer health, and video decoding pass. The source receipt still records `visual_status: awaiting_visual_approval`; this dataset is canonical by owner decision but is not relabeled as human visual-approved. | |
| ## License and access | |
| The observation videos contain an adapted DL3DV-10K scene. Non-commercial research and educational use only; recipients must accept the [DL3DV-10K Terms of Use](https://github.com/DL3DV-10K/Dataset/blob/main/License.md). | |