Publish dataset card preview and summary metadata
Browse files- README.md +102 -0
- meta/duration_summary.csv +5 -0
- meta/info.json +361 -0
- meta/task_counts.csv +111 -0
README.md
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| 1 |
+
---
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| 2 |
+
pretty_name: RobotAgentBench
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| 3 |
+
viewer: false
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| 4 |
+
language:
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| 5 |
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- en
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| 6 |
+
task_categories:
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| 7 |
+
- robotics
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| 8 |
+
size_categories:
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| 9 |
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- 1M<n<10M
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| 10 |
+
tags:
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| 11 |
+
- robotics
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| 12 |
+
- lerobot
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| 13 |
+
- robotagentbench
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| 14 |
+
- agibot-g1
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| 15 |
+
- arxiv:2610.34649
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| 16 |
+
configs:
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| 17 |
+
- config_name: default
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| 18 |
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data_files:
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| 19 |
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- split: train
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| 20 |
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path: data/chunk-*/*.parquet
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| 21 |
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---
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| 22 |
+
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| 23 |
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# RobotAgentBench
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+
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Dataset card preview. Data files will be uploaded after review.
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| 26 |
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[Paper](https://arxiv.org/abs/2610.34649) · [Project](https://aetherlabsai.github.io/RobotAgentBench/) · [Code](https://github.com/AetherLabsAI/RobotAgentBench) · [Model](https://huggingface.co/AetherLabs-AI/InternVLA-A1.5-RAB)
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| 28 |
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| 29 |
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**RobotAgentBench: Towards Open-world Robot Autonomy** introduces a benchmark for evaluating robot agents in realistic, open-world household environments. An agent-assisted, human-in-the-loop real-to-sim pipeline constructs household environments with interactive objects and physically grounded tasks.
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+
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The task hierarchy comprises atomic tasks, short-horizon tasks, long-horizon tasks, and open-ended scenarios. Evaluation spans task discovery, context reasoning, manipulation, failure recovery, robustness, and autonomous fulfillment of high-level user needs.
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| 32 |
+
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## Dataset summary
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| Category | Episodes | Frames | Hours |
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| 36 |
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| --- | ---: | ---: | ---: |
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| Atomic | 4,195 | 3,151,810 | 43.775139 |
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| Short-horizon | 750 | 2,475,637 | 34.383847 |
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| Long-horizon | 70 | 971,943 | 13.499208 |
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| Open-ended | 40 | 1,520,713 | 21.121014 |
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| 41 |
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| **Total** | **5,055** | **8,120,103** | **112.779208** |
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| 42 |
+
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The release contains 15,165 camera videos and 203 language instructions. The `train` split contains all 5,055 episodes. Tablecloth-manipulation tasks are excluded.
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| 45 |
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[Per-source task counts](meta/task_counts.csv) · [Episode duration statistics](meta/duration_summary.csv)
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| 46 |
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## Data format
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Demonstrations use **LeRobot v2.1** with the AgiBot G1 embodiment at **20 Hz**.
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| Feature | Type / shape | Content |
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| 52 |
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| --- | --- | --- |
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| 53 |
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| `observation.state` | `float32[23]` | Twenty joint channels, world-frame base `(x, y)`, and unwrapped yaw |
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| 54 |
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| `action` | `float32[22]` | Twenty joint-position targets, body-forward velocity, and yaw rate |
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| 55 |
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| `observation.images.top_head` | RGB video, 800 × 1280 × 3 | Head camera |
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| 56 |
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| `observation.images.hand_left` | RGB video, 480 × 848 × 3 | Left wrist camera |
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| 57 |
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| `observation.images.hand_right` | RGB video, 480 × 848 × 3 | Right wrist camera |
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| 58 |
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| `task_index` | `int64` | Language instruction in `meta/tasks.jsonl` |
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| 59 |
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| `timestamp` | `float64` | Episode time in seconds |
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| 60 |
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| `episode_index`, `frame_index`, `index` | `int64` | Episode, frame, and dataset indices |
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| 61 |
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| 62 |
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Torso lift and base position use metres; angular joint channels and yaw use radians. Base commands use metres per second and radians per second. Channel order and units are recorded in [meta/info.json](meta/info.json).
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| 63 |
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| 64 |
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```text
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data/ Episode data in Parquet format
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| 66 |
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videos/ Head and wrist camera videos
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| 67 |
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meta/ Tasks, episodes, features, statistics, and provenance
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| 68 |
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auxiliary/ Original source fields and supporting data
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| 69 |
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```
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| 70 |
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Episode provenance and original diagnostic labels are retained in `meta/episode_provenance.jsonl` and `meta/qualification.jsonl`. Signal origins and alignment are recorded in `meta/component_origin_index.json` and `meta/alignment_conventions.json`.
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| 72 |
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| 73 |
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## Download after data upload
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| 74 |
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| 75 |
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```bash
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| 76 |
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hf download AetherLabs-AI/RobotAgentBench --repo-type dataset --local-dir RobotAgentBench
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| 77 |
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```
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| 78 |
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## Load after data upload
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| 80 |
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| 81 |
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```bash
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| 82 |
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python -m pip install "lerobot==0.3.3" av
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| 83 |
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cd RobotAgentBench
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| 84 |
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python portable_loader.py --root . --episode 0 --frame 0 --cache-dir ../rab-cache
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| 85 |
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```
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| 86 |
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## Citation
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| 88 |
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| 89 |
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```bibtex
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| 90 |
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@article{mao2026robotagentbench,
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| 91 |
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title = {RobotAgentBench: Towards Open-world Robot Autonomy},
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| 92 |
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author = {Mao, Lingjun and Cao, Jinglin and He, Lukun and Xu, Wenpeng and
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| 93 |
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Yan, Yuchen and Jin, Hengyu and Zhang, Zijun and Tang, Jinzhou and
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| 94 |
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Jin, Songyao and Liu, Ziche and Shao, Yifei and Huang, Junbo and
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| 95 |
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Nan, Fang and Han, Ruobing and Xi, Ziqiao and Xu, Ziming and
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| 96 |
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Liang, Shuang and Zhu, Sibo and Wu, Wenyi and Wang, Xinyue and
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| 97 |
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Huang, Yiming and Zou, Xinkai and Zhu, Gao and Zhou, Kun and
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| 98 |
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Huang, Biwei},
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| 99 |
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journal = {arXiv preprint arXiv:2610.34649},
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| 100 |
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year = {2026}
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| 101 |
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}
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| 102 |
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```
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meta/duration_summary.csv
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@@ -0,0 +1,5 @@
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scope,kind,episodes,frames,hours,min_s,p05_s,p10_s,q1_s,median_s,q3_s,p90_s,p95_s,max_s,mean_s,population_std_s,sample_std_s
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all,atomic,4195,3151810,43.77513888888889,5.05,8.8,14.1,15.7,26.4,46.3,65.7,125.34499999999996,224.2,37.56626936829559,33.62492678562504,33.62893524087986
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all,short,750,2475637,34.38384722222222,29.7,62.5025,82.44500000000001,100.1,149.15,190.5375,289.775,338.88499999999993,865.1,165.04246666666668,89.75066168696969,89.81055536176176
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| 4 |
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all,long,70,971943,13.499208333333332,334.65,391.1325,444.74,505.57500000000005,726.775,817.2,953.7500000000001,1081.5674999999999,1247.5,694.2449999999999,210.1215862559444,211.63872932428978
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| 5 |
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all,open,40,1520713,21.121013888888886,616.7,1060.755,1200.095,1652.525,2040.525,2223.725,2372.035,2419.6825,2622.4,1900.89125,457.246326104363,463.0713549002644
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meta/info.json
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@@ -0,0 +1,361 @@
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|
| 1 |
+
{
|
| 2 |
+
"codebase_version": "v2.1",
|
| 3 |
+
"robot_type": "G1_omnipicker",
|
| 4 |
+
"total_episodes": 5055,
|
| 5 |
+
"total_frames": 8120103,
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| 6 |
+
"total_tasks": 203,
|
| 7 |
+
"total_videos": 15165,
|
| 8 |
+
"total_chunks": 6,
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| 9 |
+
"chunks_size": 1000,
|
| 10 |
+
"fps": 20,
|
| 11 |
+
"splits": {
|
| 12 |
+
"train": "0:5055"
|
| 13 |
+
},
|
| 14 |
+
"data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
|
| 15 |
+
"video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4",
|
| 16 |
+
"features": {
|
| 17 |
+
"action": {
|
| 18 |
+
"dtype": "float32",
|
| 19 |
+
"shape": [
|
| 20 |
+
22
|
| 21 |
+
],
|
| 22 |
+
"names": [
|
| 23 |
+
"idx21_arm_l_joint1",
|
| 24 |
+
"idx22_arm_l_joint2",
|
| 25 |
+
"idx23_arm_l_joint3",
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| 26 |
+
"idx24_arm_l_joint4",
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| 27 |
+
"idx25_arm_l_joint5",
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| 28 |
+
"idx26_arm_l_joint6",
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| 29 |
+
"idx27_arm_l_joint7",
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| 30 |
+
"idx61_arm_r_joint1",
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| 31 |
+
"idx62_arm_r_joint2",
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| 32 |
+
"idx63_arm_r_joint3",
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| 33 |
+
"idx64_arm_r_joint4",
|
| 34 |
+
"idx65_arm_r_joint5",
|
| 35 |
+
"idx66_arm_r_joint6",
|
| 36 |
+
"idx67_arm_r_joint7",
|
| 37 |
+
"idx01_body_joint1",
|
| 38 |
+
"idx02_body_joint2",
|
| 39 |
+
"idx11_head_joint1",
|
| 40 |
+
"idx12_head_joint2",
|
| 41 |
+
"idx41_gripper_l_outer_joint1",
|
| 42 |
+
"idx81_gripper_r_outer_joint1",
|
| 43 |
+
"base_forward_m_s",
|
| 44 |
+
"base_yaw_rate_rad_s"
|
| 45 |
+
],
|
| 46 |
+
"units": [
|
| 47 |
+
"rad",
|
| 48 |
+
"rad",
|
| 49 |
+
"rad",
|
| 50 |
+
"rad",
|
| 51 |
+
"rad",
|
| 52 |
+
"rad",
|
| 53 |
+
"rad",
|
| 54 |
+
"rad",
|
| 55 |
+
"rad",
|
| 56 |
+
"rad",
|
| 57 |
+
"rad",
|
| 58 |
+
"rad",
|
| 59 |
+
"rad",
|
| 60 |
+
"rad",
|
| 61 |
+
"m",
|
| 62 |
+
"rad",
|
| 63 |
+
"rad",
|
| 64 |
+
"rad",
|
| 65 |
+
"rad",
|
| 66 |
+
"rad",
|
| 67 |
+
"m/s",
|
| 68 |
+
"rad/s"
|
| 69 |
+
]
|
| 70 |
+
},
|
| 71 |
+
"observation.state": {
|
| 72 |
+
"dtype": "float32",
|
| 73 |
+
"shape": [
|
| 74 |
+
23
|
| 75 |
+
],
|
| 76 |
+
"names": [
|
| 77 |
+
"idx21_arm_l_joint1",
|
| 78 |
+
"idx22_arm_l_joint2",
|
| 79 |
+
"idx23_arm_l_joint3",
|
| 80 |
+
"idx24_arm_l_joint4",
|
| 81 |
+
"idx25_arm_l_joint5",
|
| 82 |
+
"idx26_arm_l_joint6",
|
| 83 |
+
"idx27_arm_l_joint7",
|
| 84 |
+
"idx61_arm_r_joint1",
|
| 85 |
+
"idx62_arm_r_joint2",
|
| 86 |
+
"idx63_arm_r_joint3",
|
| 87 |
+
"idx64_arm_r_joint4",
|
| 88 |
+
"idx65_arm_r_joint5",
|
| 89 |
+
"idx66_arm_r_joint6",
|
| 90 |
+
"idx67_arm_r_joint7",
|
| 91 |
+
"idx01_body_joint1",
|
| 92 |
+
"idx02_body_joint2",
|
| 93 |
+
"idx11_head_joint1",
|
| 94 |
+
"idx12_head_joint2",
|
| 95 |
+
"idx41_gripper_l_outer_joint1",
|
| 96 |
+
"idx81_gripper_r_outer_joint1",
|
| 97 |
+
"base_x_world_m",
|
| 98 |
+
"base_y_world_m",
|
| 99 |
+
"base_yaw_world_unwrapped_rad"
|
| 100 |
+
],
|
| 101 |
+
"units": [
|
| 102 |
+
"rad",
|
| 103 |
+
"rad",
|
| 104 |
+
"rad",
|
| 105 |
+
"rad",
|
| 106 |
+
"rad",
|
| 107 |
+
"rad",
|
| 108 |
+
"rad",
|
| 109 |
+
"rad",
|
| 110 |
+
"rad",
|
| 111 |
+
"rad",
|
| 112 |
+
"rad",
|
| 113 |
+
"rad",
|
| 114 |
+
"rad",
|
| 115 |
+
"rad",
|
| 116 |
+
"m",
|
| 117 |
+
"rad",
|
| 118 |
+
"rad",
|
| 119 |
+
"rad",
|
| 120 |
+
"rad",
|
| 121 |
+
"rad",
|
| 122 |
+
"m",
|
| 123 |
+
"m",
|
| 124 |
+
"rad"
|
| 125 |
+
]
|
| 126 |
+
},
|
| 127 |
+
"timestamp": {
|
| 128 |
+
"dtype": "float64",
|
| 129 |
+
"shape": [
|
| 130 |
+
1
|
| 131 |
+
],
|
| 132 |
+
"names": null
|
| 133 |
+
},
|
| 134 |
+
"frame_index": {
|
| 135 |
+
"dtype": "int64",
|
| 136 |
+
"shape": [
|
| 137 |
+
1
|
| 138 |
+
],
|
| 139 |
+
"names": null
|
| 140 |
+
},
|
| 141 |
+
"episode_index": {
|
| 142 |
+
"dtype": "int64",
|
| 143 |
+
"shape": [
|
| 144 |
+
1
|
| 145 |
+
],
|
| 146 |
+
"names": null
|
| 147 |
+
},
|
| 148 |
+
"index": {
|
| 149 |
+
"dtype": "int64",
|
| 150 |
+
"shape": [
|
| 151 |
+
1
|
| 152 |
+
],
|
| 153 |
+
"names": null
|
| 154 |
+
},
|
| 155 |
+
"task_index": {
|
| 156 |
+
"dtype": "int64",
|
| 157 |
+
"shape": [
|
| 158 |
+
1
|
| 159 |
+
],
|
| 160 |
+
"names": null
|
| 161 |
+
},
|
| 162 |
+
"observation.images.top_head": {
|
| 163 |
+
"dtype": "video",
|
| 164 |
+
"shape": [
|
| 165 |
+
800,
|
| 166 |
+
1280,
|
| 167 |
+
3
|
| 168 |
+
],
|
| 169 |
+
"names": [
|
| 170 |
+
"height",
|
| 171 |
+
"width",
|
| 172 |
+
"channel"
|
| 173 |
+
],
|
| 174 |
+
"video_info": {
|
| 175 |
+
"video.height": 800,
|
| 176 |
+
"video.width": 1280,
|
| 177 |
+
"video.channels": 3,
|
| 178 |
+
"video.codec": "h264",
|
| 179 |
+
"video.fps": 20.0,
|
| 180 |
+
"video.is_depth_map": false,
|
| 181 |
+
"has_audio": false
|
| 182 |
+
}
|
| 183 |
+
},
|
| 184 |
+
"observation.images.hand_left": {
|
| 185 |
+
"dtype": "video",
|
| 186 |
+
"shape": [
|
| 187 |
+
480,
|
| 188 |
+
848,
|
| 189 |
+
3
|
| 190 |
+
],
|
| 191 |
+
"names": [
|
| 192 |
+
"height",
|
| 193 |
+
"width",
|
| 194 |
+
"channel"
|
| 195 |
+
],
|
| 196 |
+
"video_info": {
|
| 197 |
+
"video.height": 480,
|
| 198 |
+
"video.width": 848,
|
| 199 |
+
"video.channels": 3,
|
| 200 |
+
"video.codec": "h264",
|
| 201 |
+
"video.fps": 20.0,
|
| 202 |
+
"video.is_depth_map": false,
|
| 203 |
+
"has_audio": false
|
| 204 |
+
}
|
| 205 |
+
},
|
| 206 |
+
"observation.images.hand_right": {
|
| 207 |
+
"dtype": "video",
|
| 208 |
+
"shape": [
|
| 209 |
+
480,
|
| 210 |
+
848,
|
| 211 |
+
3
|
| 212 |
+
],
|
| 213 |
+
"names": [
|
| 214 |
+
"height",
|
| 215 |
+
"width",
|
| 216 |
+
"channel"
|
| 217 |
+
],
|
| 218 |
+
"video_info": {
|
| 219 |
+
"video.height": 480,
|
| 220 |
+
"video.width": 848,
|
| 221 |
+
"video.channels": 3,
|
| 222 |
+
"video.codec": "h264",
|
| 223 |
+
"video.fps": 20.0,
|
| 224 |
+
"video.is_depth_map": false,
|
| 225 |
+
"has_audio": false
|
| 226 |
+
}
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"owner_approval_added": false,
|
| 230 |
+
"scope": "One capped default train collection; atomic/short at most50 and long/open at most10 per existing task identity. Historical source labels preserved.",
|
| 231 |
+
"field_descriptions": {
|
| 232 |
+
"state": {
|
| 233 |
+
"state/whole_body": {
|
| 234 |
+
"dimensions": 23,
|
| 235 |
+
"indices": [
|
| 236 |
+
0,
|
| 237 |
+
1,
|
| 238 |
+
2,
|
| 239 |
+
3,
|
| 240 |
+
4,
|
| 241 |
+
5,
|
| 242 |
+
6,
|
| 243 |
+
7,
|
| 244 |
+
8,
|
| 245 |
+
9,
|
| 246 |
+
10,
|
| 247 |
+
11,
|
| 248 |
+
12,
|
| 249 |
+
13,
|
| 250 |
+
14,
|
| 251 |
+
15,
|
| 252 |
+
16,
|
| 253 |
+
17,
|
| 254 |
+
18,
|
| 255 |
+
19,
|
| 256 |
+
20,
|
| 257 |
+
21,
|
| 258 |
+
22
|
| 259 |
+
],
|
| 260 |
+
"names": [
|
| 261 |
+
"idx21_arm_l_joint1",
|
| 262 |
+
"idx22_arm_l_joint2",
|
| 263 |
+
"idx23_arm_l_joint3",
|
| 264 |
+
"idx24_arm_l_joint4",
|
| 265 |
+
"idx25_arm_l_joint5",
|
| 266 |
+
"idx26_arm_l_joint6",
|
| 267 |
+
"idx27_arm_l_joint7",
|
| 268 |
+
"idx61_arm_r_joint1",
|
| 269 |
+
"idx62_arm_r_joint2",
|
| 270 |
+
"idx63_arm_r_joint3",
|
| 271 |
+
"idx64_arm_r_joint4",
|
| 272 |
+
"idx65_arm_r_joint5",
|
| 273 |
+
"idx66_arm_r_joint6",
|
| 274 |
+
"idx67_arm_r_joint7",
|
| 275 |
+
"idx01_body_joint1",
|
| 276 |
+
"idx02_body_joint2",
|
| 277 |
+
"idx11_head_joint1",
|
| 278 |
+
"idx12_head_joint2",
|
| 279 |
+
"idx41_gripper_l_outer_joint1",
|
| 280 |
+
"idx81_gripper_r_outer_joint1",
|
| 281 |
+
"base_x_world_m",
|
| 282 |
+
"base_y_world_m",
|
| 283 |
+
"base_yaw_world_unwrapped_rad"
|
| 284 |
+
]
|
| 285 |
+
}
|
| 286 |
+
},
|
| 287 |
+
"action": {
|
| 288 |
+
"action/whole_body": {
|
| 289 |
+
"dimensions": 22,
|
| 290 |
+
"indices": [
|
| 291 |
+
0,
|
| 292 |
+
1,
|
| 293 |
+
2,
|
| 294 |
+
3,
|
| 295 |
+
4,
|
| 296 |
+
5,
|
| 297 |
+
6,
|
| 298 |
+
7,
|
| 299 |
+
8,
|
| 300 |
+
9,
|
| 301 |
+
10,
|
| 302 |
+
11,
|
| 303 |
+
12,
|
| 304 |
+
13,
|
| 305 |
+
14,
|
| 306 |
+
15,
|
| 307 |
+
16,
|
| 308 |
+
17,
|
| 309 |
+
18,
|
| 310 |
+
19,
|
| 311 |
+
20,
|
| 312 |
+
21
|
| 313 |
+
],
|
| 314 |
+
"names": [
|
| 315 |
+
"idx21_arm_l_joint1",
|
| 316 |
+
"idx22_arm_l_joint2",
|
| 317 |
+
"idx23_arm_l_joint3",
|
| 318 |
+
"idx24_arm_l_joint4",
|
| 319 |
+
"idx25_arm_l_joint5",
|
| 320 |
+
"idx26_arm_l_joint6",
|
| 321 |
+
"idx27_arm_l_joint7",
|
| 322 |
+
"idx61_arm_r_joint1",
|
| 323 |
+
"idx62_arm_r_joint2",
|
| 324 |
+
"idx63_arm_r_joint3",
|
| 325 |
+
"idx64_arm_r_joint4",
|
| 326 |
+
"idx65_arm_r_joint5",
|
| 327 |
+
"idx66_arm_r_joint6",
|
| 328 |
+
"idx67_arm_r_joint7",
|
| 329 |
+
"idx01_body_joint1",
|
| 330 |
+
"idx02_body_joint2",
|
| 331 |
+
"idx11_head_joint1",
|
| 332 |
+
"idx12_head_joint2",
|
| 333 |
+
"idx41_gripper_l_outer_joint1",
|
| 334 |
+
"idx81_gripper_r_outer_joint1",
|
| 335 |
+
"base_forward_m_s",
|
| 336 |
+
"base_yaw_rate_rad_s"
|
| 337 |
+
]
|
| 338 |
+
}
|
| 339 |
+
}
|
| 340 |
+
},
|
| 341 |
+
"language_instruction": {
|
| 342 |
+
"source": "meta/tasks.jsonl:task",
|
| 343 |
+
"row_mapping": "task_index",
|
| 344 |
+
"official_sample_key": "task",
|
| 345 |
+
"policy": "semantic descriptions, English; episode-specific scenario and constraints preserved",
|
| 346 |
+
"missing_rows": 0
|
| 347 |
+
},
|
| 348 |
+
"recommended_video_backend": "pyav",
|
| 349 |
+
"pixel_formats": "Original encodings plus lossless RGB padding; consult episode provenance for each camera",
|
| 350 |
+
"source_revision": "handoff_capped_50_10_20261026",
|
| 351 |
+
"qualification_required": false,
|
| 352 |
+
"conversion_only": true,
|
| 353 |
+
"recommended_loader_tolerance_s": 0.0003,
|
| 354 |
+
"timestamp_precision_note": "Parquet timestamp uses float64 frame_index/20. LeRobot0.3.3 converts scalar times to float32 torch tensors; >2048s videos require tolerance_s=0.0003 for float rounding only, below 1% of one frame.",
|
| 355 |
+
"train_split_semantics": "All selected latest/fallback versions. Original quality, failure, measurement, randomization and owner-review fields are annotations; no new approval or success is asserted.",
|
| 356 |
+
"collection": "all",
|
| 357 |
+
"quality_filter_applied": false,
|
| 358 |
+
"selection_policy": "User requested per-task count cap; latest corrected sources first; stable explicit source order within version; no quality filtering.",
|
| 359 |
+
"unified_core_schema": true,
|
| 360 |
+
"schema_coercion_note": "Same widths/order/units; actual recording, constraint-derived and replay-pose-derived components remain separately identified in provenance, never reclassified as observed or issued."
|
| 361 |
+
}
|
meta/task_counts.csv
ADDED
|
@@ -0,0 +1,111 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
collection,kind,task_label,delivery_scope_for_report,episodes,frames,hours
|
| 2 |
+
all,atomic,1.1,1.1,50,31112,0.4321111111111111
|
| 3 |
+
all,atomic,1.2,1.2,50,40265,0.5592361111111112
|
| 4 |
+
all,atomic,1.4,1.4,50,31675,0.43993055555555555
|
| 5 |
+
all,atomic,10.1,10.1,50,43001,0.5972361111111112
|
| 6 |
+
all,atomic,10.2,10.2,50,148138,2.057472222222222
|
| 7 |
+
all,atomic,3.1,3.1,50,26723,0.3711527777777778
|
| 8 |
+
all,atomic,3.10,3.10,50,15700,0.21805555555555556
|
| 9 |
+
all,atomic,3.11,3.11,50,24370,0.33847222222222223
|
| 10 |
+
all,atomic,3.12,3.12,50,15700,0.21805555555555556
|
| 11 |
+
all,atomic,3.13,3.13,50,25991,0.3609861111111111
|
| 12 |
+
all,atomic,3.14,3.14,50,15700,0.21805555555555556
|
| 13 |
+
all,atomic,3.15,3.15,50,25341,0.3519583333333333
|
| 14 |
+
all,atomic,3.16,3.16,50,15700,0.21805555555555556
|
| 15 |
+
all,atomic,3.19,3.19,50,25425,0.353125
|
| 16 |
+
all,atomic,3.2,3.2,50,15700,0.21805555555555556
|
| 17 |
+
all,atomic,3.20,3.20,50,15700,0.21805555555555556
|
| 18 |
+
all,atomic,3.21,3.21,50,36261,0.503625
|
| 19 |
+
all,atomic,3.22,3.22,50,15700,0.21805555555555556
|
| 20 |
+
all,atomic,3.23,3.23,50,25327,0.3517638888888889
|
| 21 |
+
all,atomic,3.24,3.24,50,15700,0.21805555555555556
|
| 22 |
+
all,atomic,3.25,3.25,50,26415,0.366875
|
| 23 |
+
all,atomic,3.26,3.26,50,15700,0.21805555555555556
|
| 24 |
+
all,atomic,3.27,3.27,50,23499,0.326375
|
| 25 |
+
all,atomic,3.28,3.28,50,15700,0.21805555555555556
|
| 26 |
+
all,atomic,3.29,3.29,50,26850,0.3729166666666667
|
| 27 |
+
all,atomic,3.3,3.3,50,27139,0.37693055555555555
|
| 28 |
+
all,atomic,3.30,3.30,50,15700,0.21805555555555556
|
| 29 |
+
all,atomic,3.4,3.4,50,15700,0.21805555555555556
|
| 30 |
+
all,atomic,3.5,3.5,50,26690,0.37069444444444444
|
| 31 |
+
all,atomic,3.6,3.6,50,15700,0.21805555555555556
|
| 32 |
+
all,atomic,3.7,3.7,50,23965,0.33284722222222224
|
| 33 |
+
all,atomic,3.8,3.8,50,15700,0.21805555555555556
|
| 34 |
+
all,atomic,3.9,3.9,50,26662,0.37030555555555555
|
| 35 |
+
all,atomic,4.1,4.1,50,20984,0.29144444444444445
|
| 36 |
+
all,atomic,4.10,4.10,50,116298,1.6152499999999999
|
| 37 |
+
all,atomic,4.12,4.12,50,21330,0.29625
|
| 38 |
+
all,atomic,4.13,4.13,50,76787,1.066486111111111
|
| 39 |
+
all,atomic,4.14,4.14,50,47804,0.6639444444444444
|
| 40 |
+
all,atomic,4.16,4.16,50,36050,0.5006944444444444
|
| 41 |
+
all,atomic,4.17,4.17,50,39366,0.54675
|
| 42 |
+
all,atomic,4.2,4.2,50,15417,0.214125
|
| 43 |
+
all,atomic,4.3,4.3,50,20255,0.28131944444444446
|
| 44 |
+
all,atomic,4.4,4.4,50,52244,0.7256111111111111
|
| 45 |
+
all,atomic,4.6,4.6,50,23049,0.320125
|
| 46 |
+
all,atomic,4.7,4.7,50,48033,0.6671250000000001
|
| 47 |
+
all,atomic,4.8,4.8,50,58501,0.812513888888889
|
| 48 |
+
all,atomic,4.9,4.9,50,40489,0.5623472222222222
|
| 49 |
+
all,atomic,5.1,5.1,50,13317,0.18495833333333334
|
| 50 |
+
all,atomic,5.10,5.10,50,6499,0.09026388888888888
|
| 51 |
+
all,atomic,5.11,5.11,50,14000,0.19444444444444445
|
| 52 |
+
all,atomic,5.12,5.12,50,7218,0.10024999999999999
|
| 53 |
+
all,atomic,5.2,5.2,50,11073,0.15379166666666666
|
| 54 |
+
all,atomic,5.3,5.3,50,13451,0.18681944444444443
|
| 55 |
+
all,atomic,5.4,5.4,50,16820,0.2336111111111111
|
| 56 |
+
all,atomic,5.5,5.5,50,12172,0.16905555555555557
|
| 57 |
+
all,atomic,5.6,5.6,50,6253,0.08684722222222223
|
| 58 |
+
all,atomic,6.1,6.1,50,65700,0.9125
|
| 59 |
+
all,atomic,6.11,6.11,50,26400,0.36666666666666664
|
| 60 |
+
all,atomic,6.15,6.15,50,65000,0.9027777777777778
|
| 61 |
+
all,atomic,6.2,6.2,50,19750,0.2743055555555556
|
| 62 |
+
all,atomic,6.3,6.3,50,8800,0.12222222222222223
|
| 63 |
+
all,atomic,6.4,6.4,50,52500,0.7291666666666666
|
| 64 |
+
all,atomic,6.5,6.5,50,65000,0.9027777777777778
|
| 65 |
+
all,atomic,6.6,6.6,50,34084,0.4733888888888889
|
| 66 |
+
all,atomic,6.7,6.7,50,59986,0.833138888888889
|
| 67 |
+
all,atomic,6.9,6.9,50,32150,0.4465277777777778
|
| 68 |
+
all,atomic,7.10,7.10,50,22218,0.3085833333333334
|
| 69 |
+
all,atomic,7.2,7.2,50,42210,0.58625
|
| 70 |
+
all,atomic,7.4,7.4,50,38567,0.5356527777777778
|
| 71 |
+
all,atomic,7.8,7.8,50,17375,0.24131944444444445
|
| 72 |
+
all,atomic,8.2,8.2,45,48736,0.676888888888889
|
| 73 |
+
all,atomic,8.4,8.4,50,116286,1.6150833333333334
|
| 74 |
+
all,atomic,8.6,8.6,50,61585,0.8553472222222223
|
| 75 |
+
all,atomic,9.1,9.1,50,56032,0.7782222222222221
|
| 76 |
+
all,atomic,9.2,9.2,50,165249,2.295125
|
| 77 |
+
all,atomic,9.3,9.3,50,58167,0.807875
|
| 78 |
+
all,atomic,9.4,9.4,50,168994,2.347138888888889
|
| 79 |
+
all,atomic,9.5,9.5,50,57983,0.8053194444444445
|
| 80 |
+
all,atomic,fork,fork,50,41155,0.5715972222222222
|
| 81 |
+
all,atomic,knife,knife,50,35825,0.49756944444444445
|
| 82 |
+
all,atomic,source_2.1,source_2.1,50,63678,0.8844166666666667
|
| 83 |
+
all,atomic,source_2.2,source_2.2,50,62886,0.8734166666666667
|
| 84 |
+
all,atomic,source_2.3,source_2.3,50,23239,0.3227638888888889
|
| 85 |
+
all,atomic,source_2.5,source_2.5,50,40196,0.5582777777777778
|
| 86 |
+
all,long,L01,L01,10,118884,1.6511666666666667
|
| 87 |
+
all,long,L02,L02,10,139717,1.940513888888889
|
| 88 |
+
all,long,L03,L03,10,160569,2.230125
|
| 89 |
+
all,long,L05,L05,10,81704,1.1347777777777777
|
| 90 |
+
all,long,L06,L06,10,159190,2.2109722222222223
|
| 91 |
+
all,long,L07,L07,10,102310,1.4209722222222223
|
| 92 |
+
all,long,L08,L08,10,209569,2.910680555555556
|
| 93 |
+
all,open,O01,O01,10,466338,6.476916666666667
|
| 94 |
+
all,open,O02,O02,10,419434,5.825472222222222
|
| 95 |
+
all,open,O03,O03,10,297195,4.1277083333333335
|
| 96 |
+
all,open,O04,O04,10,337746,4.690916666666666
|
| 97 |
+
all,short,12,12,50,116890,1.6234722222222222
|
| 98 |
+
all,short,13,13,50,283094,3.9318611111111115
|
| 99 |
+
all,short,17,17,50,197826,2.747583333333333
|
| 100 |
+
all,short,18,18,50,144431,2.005986111111111
|
| 101 |
+
all,short,4,4,50,195272,2.712111111111111
|
| 102 |
+
all,short,5,5,50,184321,2.560013888888889
|
| 103 |
+
all,short,6,6,50,196530,2.7295833333333333
|
| 104 |
+
all,short,7,7,50,136552,1.8965555555555556
|
| 105 |
+
all,short,cutlery,cutlery,50,90755,1.2604861111111112
|
| 106 |
+
all,short,shelf-table,shelf-table,50,132751,1.843763888888889
|
| 107 |
+
all,short,short.airfryer,short.airfryer,50,100121,1.3905694444444445
|
| 108 |
+
all,short,short.coffee,short.coffee,50,143901,1.998625
|
| 109 |
+
all,short,short.fridge-microwave,short.fridge-microwave,50,346720,4.815555555555555
|
| 110 |
+
all,short,short16,short16,50,143703,1.9958749999999998
|
| 111 |
+
all,short,st18-1,st18-1 wiping delivery,50,62770,0.8718055555555555
|