apaszynska/merged_diffrenet_grips

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - lerobot - robotics - robot-learning - imitation-learning - reinforcement-learning - recap configs: - config_name: default data_files: - split: train path: data/**/*.parquet --- # merged_diffrenet_grips Dataset for RECAP (RL with Experience and Corrections via Advantage-conditioned Policies) training. ## Dataset Description - **Robot Type:** bi_dk1_follower - **Total Episodes:** 302 - **Total Frames:** 209890 - **FPS:** 30 ## Features | Feature | Type | Shape | |---------|------|-------| | `action` | float32 | (14,) | | `observation.state` | float32 | (14,) | | `observation.images.camera_0` | video | (480, 640, 3) | | `observation.images.camera_1` | video | (480, 640, 3) | | `observation.images.camera_2` | video | (480, 640, 3) | | `timestamp` | float32 | (1,) | | `frame_index` | int64 | (1,) | | `episode_index` | int64 | (1,) | | `index` | int64 | (1,) | | `task_index` | int64 | (1,) | ## RECAP-Specific Features - **is_intervention:** 1 if frame was human teleoperation, 0 if policy control - **episode_success:** 1 if episode was successful, 0 if failure, -1 if unlabeled ## Usage ```python from lerobot.datasets.lerobot_dataset import LeRobotDataset dataset = LeRobotDataset("apaszynska/merged_diffrenet_grips") ``` ## License Apache 2.0