This dataset was created using LeRobot.
Dataset Description
LeRobot-format conversion of the RMBench demonstrations (demo_clean, Aloha-AgileX dual arm, simulated in RoboTwin 2.0 / SAPIEN): 10 memory-dependent manipulation tasks x 50 expert episodes. Source: TianxingChen/RMBench at revision 5d8ff21038fb; all credit for the benchmark and data goes to its authors.
observation.state: 14-D joint positions (left arm 6, left gripper, right arm 6, right gripper; grippers in [0, 1]).action: the next frame's joint positions, i.e. absolute joint targets as RMBench'stake_actionconsumes them. Each episode therefore has T-1 frames.observation.images.{head,left,right}_camera: 240x320 RGB. The observer camera is not included.task: the task's single official instruction (identical across its episodes).rmbench.segment_index: index of the frame's segment in RMBench'slanguage_annotation.json. Segment texts, lengths and each episode's simulator seed are inmeta/rmbench_episodes.json.fpsis a label (15): RMBench records one frame per controller step.Camera frames were decoded with RMBench's own channel convention (its legacy JPEGs store RGB through OpenCV's BGR path), and checked against the episode videos shipped with the source.
License: mit
Dataset Structure
{
"codebase_version": "v3.0",
"fps": 15,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
14
],
"names": {
"motors": [
"left_joint_0",
"left_joint_1",
"left_joint_2",
"left_joint_3",
"left_joint_4",
"left_joint_5",
"left_gripper",
"right_joint_0",
"right_joint_1",
"right_joint_2",
"right_joint_3",
"right_joint_4",
"right_joint_5",
"right_gripper"
]
}
},
"action": {
"dtype": "float32",
"shape": [
14
],
"names": {
"motors": [
"left_joint_0",
"left_joint_1",
"left_joint_2",
"left_joint_3",
"left_joint_4",
"left_joint_5",
"left_gripper",
"right_joint_0",
"right_joint_1",
"right_joint_2",
"right_joint_3",
"right_joint_4",
"right_joint_5",
"right_gripper"
]
}
},
"rmbench.segment_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"observation.images.head_camera": {
"dtype": "video",
"shape": [
240,
320,
3
],
"names": [
"height",
"width",
"rgb"
],
"info": {
"video.height": 240,
"video.width": 320,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.fps": 15,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": 12,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {},
"is_depth_map": false
}
},
"observation.images.left_camera": {
"dtype": "video",
"shape": [
240,
320,
3
],
"names": [
"height",
"width",
"rgb"
],
"info": {
"video.height": 240,
"video.width": 320,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.fps": 15,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": 12,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {},
"is_depth_map": false
}
},
"observation.images.right_camera": {
"dtype": "video",
"shape": [
240,
320,
3
],
"names": [
"height",
"width",
"rgb"
],
"info": {
"video.height": 240,
"video.width": 320,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.fps": 15,
"video.channels": 3,
"has_audio": false,
"video.g": 2,
"video.crf": 30,
"video.preset": 12,
"video.fast_decode": 0,
"video.video_backend": "pyav",
"video.extra_options": {},
"is_depth_map": false
}
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"task_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
}
},
"total_episodes": 500,
"total_frames": 330389,
"total_tasks": 10,
"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": "aloha-agilex",
"splits": {
"train": "0:500"
}
}
Citation
BibTeX:
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