--- task_categories: - robotics tags: - LeRobot - raiden - yam configs: - config_name: default data_files: data/*/*.parquet --- # pick_block_red Bimanual manipulation demonstrations recorded with [Raiden](https://github.com/TRI-ML/raiden) and exported to the [LeRobot](https://github.com/huggingface/lerobot) v3.0 format. ## Dataset - **Codebase version:** v3.0 - **Robot type:** yam - **Episodes:** 30 - **Frames:** 12833 - **Tasks:** 1 - **FPS:** 30 ## Features | Key | dtype | Shape | |---|---|---| | `action` | float32 | (7,) | | `action.ee_pose` | float32 | (13,) | | `episode_index` | int64 | (1,) | | `frame_index` | int64 | (1,) | | `index` | int64 | (1,) | | `observation.effort` | float32 | (7,) | | `observation.extrinsics.left_wrist_camera` | float32 | (16,) | | `observation.extrinsics.scene_camera` | float32 | (16,) | | `observation.images.depth_scene_camera` | video | (480, 640, 1) | | `observation.images.left_wrist_camera` | video | (480, 640, 3) | | `observation.images.scene_camera` | video | (480, 640, 3) | | `observation.intrinsics.left_wrist_camera` | float32 | (9,) | | `observation.intrinsics.scene_camera` | float32 | (9,) | | `observation.leader.joint_effort` | float32 | (6,) | | `observation.leader.joint_position` | float32 | (6,) | | `observation.leader.joint_velocity` | float32 | (6,) | | `observation.state` | float32 | (7,) | | `observation.state.ee_pose` | float32 | (13,) | | `observation.timestamp_ns` | int64 | (1,) | | `observation.velocity` | float32 | (7,) | | `task_index` | int64 | (1,) | | `timestamp` | float32 | (1,) | Camera intrinsics are stored per frame as `observation.intrinsics.` (flattened 3x3), and wrist-camera extrinsics as `observation.extrinsics.`. Depth is 12-bit logarithmically quantized in the video stream; a lossless first frame of each episode (RGB PNG + uint16 depth PNG + calibration JSON) is archived under `meta/keyframes/` for pose estimation. ## Usage ```python from lerobot.datasets.lerobot_dataset import LeRobotDataset dataset = LeRobotDataset("YzyLmc/pick_block_red") print(dataset[0].keys()) ```