Datasets:
This dataset was created using LeRobot.
The original recorded values are preserved. No MolmoAct2-specific coordinate conversion or normalization has been applied. All episodes are currently in the train split; create episode-level train/validation splits before experiments.
Validation
Episode/frame indexing and finite six-channel state/action arrays passed checks; all 200 videos fully decoded. Video/data frame-count mismatches were found: see the report below. Original files are preserved without trimming or re-encoding. Review camera/action alignment for affected episodes before training. Task success and synchronization have not been visually verified.
[
{
"episode_index": 56,
"camera": "observation.images.front",
"data_frames": 213,
"video_frames": 214,
"last_video_timestamp": 7.1
},
{
"episode_index": 56,
"camera": "observation.images.wrist",
"data_frames": 213,
"video_frames": 352,
"last_video_timestamp": 11.7
}
]
Dataset Structure
LeRobot Dataset v3.0: data/ contains Parquet data; videos/ contains per-camera MP4 files; meta/ contains schema, statistics, tasks, and episode boundaries.
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 100,
"total_frames": 23746,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:100"
},
"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",
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6
]
},
"observation.state": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6
]
},
"observation.images.front": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 30,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.wrist": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "h264",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 30,
"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
}
}
}
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