ajaysri/route_subtasks_dual_overhead_pi05
Route Subtask Episodes with Dual Overhead Views This is a LeRobot v2.1 training dataset at 100 Hz. Every output episode contains exactly one semantic subtask. Route boundaries are inferred from maximal contiguous runs of metadata.route.active_subgoal; partial source episodes are kept as the suffix subtasks they contain. The dataset has 523 split route episodes and 135699 frames. Camera streams observation.images.video_overhead_vector: overhead image with the… See the full description on the dataset page: https://huggingface.co/datasets/ajaysri/route_subtasks_dual_overhead_pi05.
Route Subtask Episodes with Dual Overhead Views
This is a LeRobot v2.1 training dataset at 100 Hz. Every output episode contains exactly one semantic subtask. Route boundaries are inferred from maximal contiguous runs of metadata.route.active_subgoal; partial source episodes are kept as the suffix subtasks they contain.
The dataset has 523 split route episodes and 135699 frames.
Camera streams
observation.images.video_overhead_vector: overhead image with the fixed yellow-dot/red-arrow goal.observation.images.video_overhead_raw: the same overhead frame without the synthetic vector.observation.images.video_leftandobservation.images.video_right: raw side views.
The raw/vector overhead streams are frame-aligned with each other, the robot state, and the action. Route and steering use their original visual styles, recorded in metadata.vector.style_name and the per-frame size fields.
Tasks
place the connector on the selected vectorroute the cable through the selected connector
No class balancing or steering upsampling is applied.