Datasets:
52 episodes · 20 fps · 2 cameras · 256×256 h264
This dataset was created using LeRobot.
Dataset Structure
{
"codebase_version": "v2.1",
"robot_type": "piper_standard",
"total_episodes": 52,
"total_frames": 11996,
"total_tasks": 1,
"total_videos": 104,
"total_chunks": 1,
"chunks_size": 1000,
"fps": 20,
"splits": {
"train": "0:52"
},
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
"features": {
"state": {
"dtype": "float32",
"shape": [
7
],
"names": [
"joint_1",
"joint_2",
"joint_3",
"joint_4",
"joint_5",
"joint_6",
"gripper"
]
},
"actions": {
"dtype": "float32",
"shape": [
7
],
"names": [
"joint_1",
"joint_2",
"joint_3",
"joint_4",
"joint_5",
"joint_6",
"gripper"
]
},
"image": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channel"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": false
}
},
"wrist_image": {
"dtype": "video",
"shape": [
256,
256,
3
],
"names": [
"height",
"width",
"channel"
],
"info": {
"video.height": 256,
"video.width": 256,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 20,
"video.channels": 3,
"has_audio": 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
}
}
}
Citation
BibTeX:
[More Information Needed]
PiPER black-box task
Task: Pick up the black box and place it in the basin.
Two views: overhead image and wrist_image, 20 FPS, 256x256 RGB videos. State: raw feedback, six joint angles in radians and gripper width in meters. Actions: next-frame feedback clipped to deployed command limits, not measured commands. See drag_action_labels.json and conversion_validation.json for provenance and checks.
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