Upload trimmed towel folding dataset with multi-video support
Browse files- README.md +39 -0
- data/chunk-000/episode_000000.parquet +3 -0
- meta/episodes.jsonl +1 -0
- meta/info.json +144 -0
- meta/stats.json +184 -0
- meta/tasks.jsonl +1 -0
- videos/chunk-000/observation.images.front/episode_000000.mp4 +3 -0
- videos/chunk-000/observation.images.left_wrist/episode_000000.mp4 +3 -0
- videos/chunk-000/observation.images.right_wrist/episode_000000.mp4 +3 -0
README.md
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---
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license: mit
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task_categories:
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- robotics
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tags:
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- LeRobot
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- SO-100
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- robotics
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- towel-folding
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---
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# Trimmed Towel Folding Dataset
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This dataset contains towel folding demonstrations trimmed to the first fold.
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## Dataset Details
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- **Original Dataset**: [arsenxeno/augmented-setup](https://huggingface.co/datasets/arsenxeno/augmented-setup)
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- **Task**: Towel folding (first fold only)
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- **Episodes**: 1
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- **Codebase Version**: v2.0
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## Statistics
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| Metric | Value |
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|--------|-------|
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| Total Episodes | 1 |
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| Average Original Length | 709 frames |
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| Average Trimmed Length | 338 frames |
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| Average Fold Time | 22.5 seconds |
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## Usage with LeRobot
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```python
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from lerobot.datasets import make_dataset
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# Load the dataset
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dataset = make_dataset("xenorobotics/augmented-setup-1")
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```
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data/chunk-000/episode_000000.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:2229247b570b492968ece6a46913bd1f503f3ef0f6c451d25d200c37fdc7a421
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size 41165
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meta/episodes.jsonl
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{"episode_index": 0, "tasks": [0], "length": 338}
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meta/info.json
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{
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"codebase_version": "v2.0",
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"robot_type": "bi_so100_follower",
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| 4 |
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"total_episodes": 1,
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| 5 |
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"total_frames": 338,
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| 6 |
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"total_tasks": 1,
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| 7 |
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"total_videos": 3,
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| 8 |
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"total_chunks": 1,
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"chunks_size": 1000,
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| 10 |
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"fps": 15,
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"splits": {
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"train": "0:1"
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},
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"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
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"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
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"features": {
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"observation.state": {
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"dtype": "float32",
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"shape": [
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12
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],
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"names": [
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"left_shoulder_pan.pos",
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"left_shoulder_lift.pos",
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"left_elbow_flex.pos",
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"left_wrist_flex.pos",
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"left_wrist_roll.pos",
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| 28 |
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"left_gripper.pos",
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| 29 |
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"right_shoulder_pan.pos",
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| 30 |
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"right_shoulder_lift.pos",
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"right_elbow_flex.pos",
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| 32 |
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"right_wrist_flex.pos",
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| 33 |
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"right_wrist_roll.pos",
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| 34 |
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"right_gripper.pos"
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| 35 |
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]
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| 36 |
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},
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| 37 |
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"action": {
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| 38 |
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"dtype": "float32",
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| 39 |
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"shape": [
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| 40 |
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12
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],
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| 42 |
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"names": [
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| 43 |
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"left_shoulder_pan.pos",
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| 44 |
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"left_shoulder_lift.pos",
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| 45 |
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"left_elbow_flex.pos",
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| 46 |
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"left_wrist_flex.pos",
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| 47 |
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"left_wrist_roll.pos",
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| 48 |
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"left_gripper.pos",
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| 49 |
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"right_shoulder_pan.pos",
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| 50 |
+
"right_shoulder_lift.pos",
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| 51 |
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"right_elbow_flex.pos",
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| 52 |
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"right_wrist_flex.pos",
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| 53 |
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"right_wrist_roll.pos",
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| 54 |
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"right_gripper.pos"
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| 55 |
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]
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| 56 |
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},
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| 57 |
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"timestamp": {
|
| 58 |
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"dtype": "float32",
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| 59 |
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"shape": [
|
| 60 |
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1
|
| 61 |
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],
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| 62 |
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"names": null
|
| 63 |
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},
|
| 64 |
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"frame_index": {
|
| 65 |
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"dtype": "int64",
|
| 66 |
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"shape": [
|
| 67 |
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1
|
| 68 |
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],
|
| 69 |
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"names": null
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| 70 |
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},
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| 71 |
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"episode_index": {
|
| 72 |
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"dtype": "int64",
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| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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"names": null
|
| 91 |
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|
| 92 |
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"observation.images.left_wrist": {
|
| 93 |
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|
| 94 |
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"shape": [
|
| 95 |
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| 96 |
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| 97 |
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| 98 |
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|
| 99 |
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|
| 100 |
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"names": null,
|
| 101 |
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"video_info": {
|
| 102 |
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"video.fps": 15.0,
|
| 103 |
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"video.codec": "mp4v",
|
| 104 |
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"video.pix_fmt": "yuv420p",
|
| 105 |
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"video.is_depth_map": false,
|
| 106 |
+
"has_audio": false
|
| 107 |
+
}
|
| 108 |
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},
|
| 109 |
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"observation.images.right_wrist": {
|
| 110 |
+
"dtype": "video",
|
| 111 |
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"shape": [
|
| 112 |
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| 115 |
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| 116 |
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| 117 |
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| 118 |
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|
| 119 |
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|
| 120 |
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"video.codec": "mp4v",
|
| 121 |
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"video.pix_fmt": "yuv420p",
|
| 122 |
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"video.is_depth_map": false,
|
| 123 |
+
"has_audio": false
|
| 124 |
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}
|
| 125 |
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},
|
| 126 |
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"observation.images.front": {
|
| 127 |
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"dtype": "video",
|
| 128 |
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"shape": [
|
| 129 |
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|
| 130 |
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| 131 |
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|
| 137 |
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"video.codec": "mp4v",
|
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"video.pix_fmt": "yuv420p",
|
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"video.is_depth_map": false,
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| 140 |
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"has_audio": false
|
| 141 |
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| 142 |
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}
|
| 143 |
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}
|
| 144 |
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}
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meta/stats.json
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|
| 1 |
+
{
|
| 2 |
+
"observation.state": {
|
| 3 |
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"mean": [
|
| 4 |
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0.0,
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|
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|
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|
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],
|
| 31 |
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"min": [
|
| 32 |
+
-100.0,
|
| 33 |
+
-100.0,
|
| 34 |
+
-100.0,
|
| 35 |
+
-100.0,
|
| 36 |
+
-100.0,
|
| 37 |
+
-100.0,
|
| 38 |
+
-100.0,
|
| 39 |
+
-100.0,
|
| 40 |
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-100.0,
|
| 41 |
+
-100.0,
|
| 42 |
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-100.0,
|
| 43 |
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-100.0
|
| 44 |
+
],
|
| 45 |
+
"max": [
|
| 46 |
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100.0,
|
| 47 |
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100.0,
|
| 48 |
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100.0,
|
| 49 |
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100.0,
|
| 50 |
+
100.0,
|
| 51 |
+
100.0,
|
| 52 |
+
100.0,
|
| 53 |
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meta/tasks.jsonl
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{"task_index": 0, "task": "towel_folding_first_fold", "episodes": [0]}
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videos/chunk-000/observation.images.front/episode_000000.mp4
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videos/chunk-000/observation.images.left_wrist/episode_000000.mp4
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