Upload folder using huggingface_hub
Browse files- README.md +15 -0
- data/chunk-000/episode_000000.parquet +3 -0
- meta/episodes.jsonl +1 -0
- meta/episodes_stats.jsonl +1 -0
- meta/info.json +93 -0
- meta/tasks.jsonl +1 -0
README.md
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
|
| 2 |
+
---
|
| 3 |
+
tags:
|
| 4 |
+
- phosphobot
|
| 5 |
+
- so100
|
| 6 |
+
- phospho-dk
|
| 7 |
+
task_categories:
|
| 8 |
+
- robotics
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# test23
|
| 12 |
+
|
| 13 |
+
**This dataset was generated using a [phospho starter pack](https://robots.phospho.ai).**
|
| 14 |
+
|
| 15 |
+
This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot and RLDS.
|
data/chunk-000/episode_000000.parquet
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:856f5b12ef195d5877ca8a82e239a9806783c816a2db22a20fe8b4102982859b
|
| 3 |
+
size 14768
|
meta/episodes.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"episode_index":0,"tasks":["pick up[ the ball"],"length":428}
|
meta/episodes_stats.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"episode_index": 0, "stats": {"observation.state": {"max": [-0.06904599238658886, -0.504802922115283, 0.8515672394345959, 0.5769176252746091, 0.28845881263730455, 0.016877909250055056, -0.007671776931843207, 0.1334889186140718, -0.23935944027350806, -1.0709800596853116, 0.004603066159105924, 2.194128202507157], "min": [-0.06904599238658886, -0.504802922115283, 0.8515672394345959, 0.5769176252746091, 0.28845881263730455, 0.016877909250055056, -0.007671776931843207, 0.1334889186140718, -0.23935944027350806, -1.0709800596853116, -0.0030687107727372827, 0.007671776931843207], "mean": [-0.06904599238658828, -0.5048029221152868, 0.8515672394345909, 0.5769176252746053, 0.28845881263730266, 0.016877909250054897, -0.007671776931843174, 0.13348891861407147, -0.23935944027350686, -1.0709800596853216, 0.0012905792969455847, 0.8921559583235318], "std": [1.0454069972337991e-08, 0.0, 6.664001874625056e-08, 7.487740830422111e-08, 3.7438704152110554e-08, 2.7939677238464355e-09, 8.865926770800618e-10, 1.4307248867803454e-08, 2.2351741790771484e-08, 0.0, 0.003622147551794047, 1.0119015420870872], "count": [428]}, "action": {"max": [-0.06904599238658886, -0.504802922115283, 0.8515672394345959, 0.5769176252746091, 0.28845881263730455, 0.016877909250055056, -0.007671776931843207, 0.1334889186140718, -0.23935944027350806, -1.0709800596853116, 0.004603066159105924, 2.194128202507157], "min": [-0.06904599238658886, -0.504802922115283, 0.8515672394345959, 0.5769176252746091, 0.28845881263730455, 0.016877909250055056, -0.007671776931843207, 0.1334889186140718, -0.23935944027350806, -1.0709800596853116, -0.0030687107727372827, 0.007671776931843207], "mean": [-0.06904599238658828, -0.5048029221152868, 0.8515672394345909, 0.5769176252746053, 0.28845881263730266, 0.016877909250054897, -0.007671776931843174, 0.13348891861407147, -0.23935944027350686, -1.0709800596853216, 0.0012905792969455847, 0.8921559583235318], "std": [1.0454069972337991e-08, 0.0, 6.664001874625056e-08, 7.487740830422111e-08, 3.7438704152110554e-08, 2.7939677238464355e-09, 8.865926770800618e-10, 1.4307248867803454e-08, 2.2351741790771484e-08, 0.0, 0.003622147551794047, 1.0119015420870872], "count": [428]}, "timestamp": {"max": [14.398880770997494], "min": [0.0013806290007778443], "mean": [7.203391441347376], "std": [4.165636942066365], "count": [428]}, "frame_index": {"max": [427], "min": [0], "mean": [213.5], "std": [123.5526203688129], "count": [428]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [428]}, "index": {"max": [427], "min": [0], "mean": [213.5], "std": [123.5526203688129], "count": [428]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [428]}, "observation.images.main": {"max": [[[0.0]], [[0.0]], [[0.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.0]], [[0.0]], [[0.0]]], "std": [[[0.0]], [[0.0]], [[0.0]]], "count": [32870400]}}}
|
meta/info.json
ADDED
|
@@ -0,0 +1,93 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"robot_type": "so-100, so-100",
|
| 3 |
+
"codebase_version": "v2.1",
|
| 4 |
+
"total_episodes": 1,
|
| 5 |
+
"total_frames": 428,
|
| 6 |
+
"total_tasks": 1,
|
| 7 |
+
"total_videos": 0,
|
| 8 |
+
"total_chunks": 1,
|
| 9 |
+
"chunks_size": 1000,
|
| 10 |
+
"fps": 30,
|
| 11 |
+
"splits": {
|
| 12 |
+
"train": "0:1"
|
| 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 |
+
12
|
| 21 |
+
],
|
| 22 |
+
"names": [
|
| 23 |
+
"motor_1",
|
| 24 |
+
"motor_2",
|
| 25 |
+
"motor_3",
|
| 26 |
+
"motor_4",
|
| 27 |
+
"motor_5",
|
| 28 |
+
"motor_6",
|
| 29 |
+
"motor_1_secondary",
|
| 30 |
+
"motor_2_secondary",
|
| 31 |
+
"motor_3_secondary",
|
| 32 |
+
"motor_4_secondary",
|
| 33 |
+
"motor_5_secondary",
|
| 34 |
+
"motor_6_secondary"
|
| 35 |
+
]
|
| 36 |
+
},
|
| 37 |
+
"observation.state": {
|
| 38 |
+
"dtype": "float32",
|
| 39 |
+
"shape": [
|
| 40 |
+
12
|
| 41 |
+
],
|
| 42 |
+
"names": [
|
| 43 |
+
"motor_1",
|
| 44 |
+
"motor_2",
|
| 45 |
+
"motor_3",
|
| 46 |
+
"motor_4",
|
| 47 |
+
"motor_5",
|
| 48 |
+
"motor_6",
|
| 49 |
+
"motor_1_secondary",
|
| 50 |
+
"motor_2_secondary",
|
| 51 |
+
"motor_3_secondary",
|
| 52 |
+
"motor_4_secondary",
|
| 53 |
+
"motor_5_secondary",
|
| 54 |
+
"motor_6_secondary"
|
| 55 |
+
]
|
| 56 |
+
},
|
| 57 |
+
"timestamp": {
|
| 58 |
+
"dtype": "float32",
|
| 59 |
+
"shape": [
|
| 60 |
+
1
|
| 61 |
+
],
|
| 62 |
+
"names": null
|
| 63 |
+
},
|
| 64 |
+
"episode_index": {
|
| 65 |
+
"dtype": "int64",
|
| 66 |
+
"shape": [
|
| 67 |
+
1
|
| 68 |
+
],
|
| 69 |
+
"names": null
|
| 70 |
+
},
|
| 71 |
+
"frame_index": {
|
| 72 |
+
"dtype": "int64",
|
| 73 |
+
"shape": [
|
| 74 |
+
1
|
| 75 |
+
],
|
| 76 |
+
"names": null
|
| 77 |
+
},
|
| 78 |
+
"task_index": {
|
| 79 |
+
"dtype": "int64",
|
| 80 |
+
"shape": [
|
| 81 |
+
1
|
| 82 |
+
],
|
| 83 |
+
"names": null
|
| 84 |
+
},
|
| 85 |
+
"index": {
|
| 86 |
+
"dtype": "int64",
|
| 87 |
+
"shape": [
|
| 88 |
+
1
|
| 89 |
+
],
|
| 90 |
+
"names": null
|
| 91 |
+
}
|
| 92 |
+
}
|
| 93 |
+
}
|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"task_index":0,"task":"pick up[ the ball"}
|