felsager/smolvla_base_ee_rel
Robotics • 0.5B • Updated • 147
This dataset was created using LeRobot.
| Revision | Contents |
|---|---|
v3.0 (default) |
Cleaned and relabelled; each frame's task text is one of several paraphrased wordings of its label |
cleaned-no-paraphrases |
The same episodes, frames and labels, with exactly one task text (the label) per episode |
pre-label-fix-2026-10-08 |
The original conversion, before the label review |
You are reading the v3.0 revision. Load another one with --dataset.revision=<name>.
v3.0 only): every frame carries one of 3 to 7 wordings of its label (pick up / grasp / grab / take,
a / the, in / into, ...), picked by a hash of the frame index, so one episode is seen under several wordings. The first
frame of every episode carries the label itself, so the label leads each episode's task list: LeRobot's train/eval split
(last episodes of each first task) then groups episodes by label, as in cleaned-no-paraphrases, and holds out the same episodes.
meta/tasks.parquet has a canonical column with each wording's label.exclusion in meta/merge_sources.json)
and 283 episodes of the kept datasets (outliers and review exclusions).meta/merge_sources.json
lists the labels, dropped episodes and trimmed frames under label_fix.c11d0984);
it is superseded by v3.0.{
"codebase_version": "v3.0",
"robot_type": "so100_so101_ee",
"fps": 30,
"total_frames": 18812021,
"total_episodes": 36057,
"total_tasks": 2882,
"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",
"splits": {
"train": "0:36057"
},
"features": {
"observation.images.top": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.fps": 30,
"video.channels": 3,
"video.pix_fmt": "yuv420p",
"video.codec": null,
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.images.wrist": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
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"video.width": 640,
"video.fps": 30,
"video.channels": 3,
"video.pix_fmt": "yuv420p",
"video.codec": null,
"video.is_depth_map": false,
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}
},
"observation.images.side": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
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"video.fps": 30,
"video.channels": 3,
"video.pix_fmt": "yuv420p",
"video.codec": null,
"video.is_depth_map": false,
"has_audio": false
}
},
"observation.state": {
"dtype": "float32",
"shape": [
8
],
"names": [
"ee.x",
"ee.y",
"ee.z",
"ee.qx",
"ee.qy",
"ee.qz",
"ee.qw",
"ee.gripper"
],
"fps": 30
},
"action": {
"dtype": "float32",
"shape": [
8
],
"names": [
"ee.x",
"ee.y",
"ee.z",
"ee.qx",
"ee.qy",
"ee.qz",
"ee.qw",
"ee.gripper"
],
"fps": 30
},
"timestamp": {
"dtype": "float32",
"shape": [
1
],
"names": null
},
"frame_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"episode_index": {
"dtype": "int64",
"shape": [
1
],
"names": null
},
"index": {
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"shape": [
1
],
"names": null
},
"task_index": {
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"shape": [
1
],
"names": null
},
"observation.images.top_padding_mask": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"observation.images.wrist_padding_mask": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"observation.images.side_padding_mask": {
"dtype": "bool",
"shape": [
1
],
"names": null
},
"source_dataset_index": {
"dtype": "int64",
"shape": [
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],
"names": null
}
}
}
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