lerobot/Cosmos3-Nano-Policy-LIBERO
Robotics • 16B • Updated • 2
The four LIBERO suites (Spatial, Object, Goal and LIBERO-10) in the layout of the Cosmos3 LIBERO recipe, converted from nvidia/LIBERO_LeRobot_v3 (libero_spatial, libero_object, libero_goal and libero_10). 1693 episodes, 273465 frames, 40 tasks, 20 FPS, LeRobot dataset v3.0.
This dataset was created using LeRobot. The Cosmos3 policies of LeRobot fine-tune on it (see the LeRobot Cosmos3 documentation).
action: float32[10] [delta position (3), rot6d (6), gripper] with the channel names pos_0 to pos_2, rot6d_0 to rot6d_5 and gripper_0, instead of the float32[7] [delta position (3), axis angle (3), gripper] of the source. rot6d holds the first two columns of the rotation matrix of the axis angle, and the gripper (1 open, 0 closed) passes through. This is the action of the native Cosmos3 LIBERO recipe.observation.images.wrist_image is renamed observation.images.image2, which is the camera key of the LeRobot LIBERO environment.meta/stats.json (mean, std, min, max, q01, q99) are those of the native Cosmos3 LIBERO recipe.{
"codebase_version": "v3.0",
"fps": 20,
"features": {
"observation.images.image": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.image2": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": false
}
},
"observation.state": {
"dtype": "float32",
"shape": [
8
],
"names": {
"motors": [
"pos_0",
"pos_1",
"pos_2",
"axisangle_0",
"axisangle_1",
"axisangle_2",
"gripper_0",
"gripper_1"
]
},
"fps": 20
},
"action": {
"dtype": "float32",
"shape": [
10
],
"names": {
"motors": [
"pos_0",
"pos_1",
"pos_2",
"rot6d_0",
"rot6d_1",
"rot6d_2",
"rot6d_3",
"rot6d_4",
"rot6d_5",
"gripper_0"
]
},
"fps": 20
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null,
"fps": 20
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null,
"fps": 20
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null,
"fps": 20
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null,
"fps": 20
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null,
"fps": 20
}
},
"total_episodes": 1693,
"total_frames": 273465,
"total_tasks": 40,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"robot_type": "franka",
"splits": {
"train": "0:1693"
}
}
The source dataset and this conversion use OpenMDW 1.1.