Datasets:
1k episodes · 30 fps · 2 cameras · 640×480 av1
This dataset was created using LeRobot.
Dataset Description
Simulated SO-101 arm (Isaac Lab, PhysX physics, RTX rendering) hovering its
closed jaws over the mahjong tile its instruction names, among seven tiles
(1, 2 and 3 of characters, 2 of dots, 2 of bamboo, red and green dragons) laid
out at random on a foam pad: task Mahjong-ReachRandom-SO101-v0.
- Recorded with a scripted policy, successful episodes only.
- 1,000 episodes, each a new layout with a target drawn at random, recorded in two halves of 500, from seed 100 and from seed 200; evaluation uses seeds from 1000.
- Cameras:
side_cam(a fixed webcam) andgripper_cam(on the wrist), 640 x 480 at 30 fps. - No domain randomization.
The camera frames show mahjong tile faces adapted from Mahjong_eg_TW.jpg by Cangjie6, licensed under CC BY-SA 4.0. Changes: each face was cropped, rectified and cleaned, modelled as recessed geometry on a 29 x 22 mm tile, and rendered in a simulated scene. This dataset is shared under CC BY-SA 4.0 as well. No endorsement by the source author is implied.
- Homepage: [More Information Needed]
- Paper: [More Information Needed]
- License: cc-by-sa-4.0
Dataset Structure
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"observation.state": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
]
},
"action": {
"dtype": "float32",
"shape": [
6
],
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
]
},
"observation.images.side_cam": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"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.gripper_cam": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.fps": 30,
"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": 1000,
"total_frames": 77707,
"total_tasks": 7,
"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": "so101_follower",
"splits": {
"train": "0:1000"
}
}
Citation
BibTeX:
[More Information Needed]
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