302 episodes · 30 fps · 3 cameras · 640×480 av1
merged_diffrenet_grips
Dataset for RECAP (RL with Experience and Corrections via Advantage-conditioned Policies) training.
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
from lerobot.datasets.lerobot_dataset import LeRobotDataset
dataset = LeRobotDataset("apaszynska/merged_diffrenet_grips")
License
Apache 2.0
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