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Browse files- README.md +17 -0
- data/chunk-000/episode_000000.parquet +3 -0
- data/chunk-000/episode_000001.parquet +3 -0
- data/chunk-000/episode_000002.parquet +3 -0
- data/chunk-000/episode_000003.parquet +3 -0
- data/chunk-000/episode_000004.parquet +3 -0
- data/chunk-000/episode_000005.parquet +3 -0
- meta/episodes.jsonl +6 -0
- meta/episodes_stats.jsonl +6 -0
- meta/info.json +81 -0
- meta/tasks.jsonl +1 -0
README.md
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---
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tags:
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- phosphobot
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- so100
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- phospho-dk
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task_categories:
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- robotics
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---
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# BallPickup
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**This dataset was generated using [phosphobot](https://docs.phospho.ai).**
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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.
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To get started in robotics, [get your own phospho starter pack.](https://robots.phospho.ai).
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data/chunk-000/episode_000000.parquet
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data/chunk-000/episode_000001.parquet
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data/chunk-000/episode_000002.parquet
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data/chunk-000/episode_000003.parquet
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data/chunk-000/episode_000004.parquet
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data/chunk-000/episode_000005.parquet
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meta/episodes.jsonl
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meta/episodes_stats.jsonl
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|
| 1 |
+
{
|
| 2 |
+
"robot_type": "so-100",
|
| 3 |
+
"codebase_version": "v2.1",
|
| 4 |
+
"total_episodes": 6,
|
| 5 |
+
"total_frames": 19376,
|
| 6 |
+
"total_tasks": 1,
|
| 7 |
+
"total_videos": 0,
|
| 8 |
+
"total_chunks": 1,
|
| 9 |
+
"chunks_size": 1000,
|
| 10 |
+
"fps": 30,
|
| 11 |
+
"splits": {
|
| 12 |
+
"train": "0:6"
|
| 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 |
+
6
|
| 21 |
+
],
|
| 22 |
+
"names": [
|
| 23 |
+
"motor_1",
|
| 24 |
+
"motor_2",
|
| 25 |
+
"motor_3",
|
| 26 |
+
"motor_4",
|
| 27 |
+
"motor_5",
|
| 28 |
+
"motor_6"
|
| 29 |
+
]
|
| 30 |
+
},
|
| 31 |
+
"observation.state": {
|
| 32 |
+
"dtype": "float32",
|
| 33 |
+
"shape": [
|
| 34 |
+
6
|
| 35 |
+
],
|
| 36 |
+
"names": [
|
| 37 |
+
"motor_1",
|
| 38 |
+
"motor_2",
|
| 39 |
+
"motor_3",
|
| 40 |
+
"motor_4",
|
| 41 |
+
"motor_5",
|
| 42 |
+
"motor_6"
|
| 43 |
+
]
|
| 44 |
+
},
|
| 45 |
+
"timestamp": {
|
| 46 |
+
"dtype": "float32",
|
| 47 |
+
"shape": [
|
| 48 |
+
1
|
| 49 |
+
],
|
| 50 |
+
"names": null
|
| 51 |
+
},
|
| 52 |
+
"episode_index": {
|
| 53 |
+
"dtype": "int64",
|
| 54 |
+
"shape": [
|
| 55 |
+
1
|
| 56 |
+
],
|
| 57 |
+
"names": null
|
| 58 |
+
},
|
| 59 |
+
"frame_index": {
|
| 60 |
+
"dtype": "int64",
|
| 61 |
+
"shape": [
|
| 62 |
+
1
|
| 63 |
+
],
|
| 64 |
+
"names": null
|
| 65 |
+
},
|
| 66 |
+
"task_index": {
|
| 67 |
+
"dtype": "int64",
|
| 68 |
+
"shape": [
|
| 69 |
+
1
|
| 70 |
+
],
|
| 71 |
+
"names": null
|
| 72 |
+
},
|
| 73 |
+
"index": {
|
| 74 |
+
"dtype": "int64",
|
| 75 |
+
"shape": [
|
| 76 |
+
1
|
| 77 |
+
],
|
| 78 |
+
"names": null
|
| 79 |
+
}
|
| 80 |
+
}
|
| 81 |
+
}
|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"task_index":0,"task":"None"}
|