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Browse files- README.md +17 -0
- data/chunk-000/episode_000000.parquet +3 -0
- meta/episodes.jsonl +1 -0
- meta/episodes_stats.jsonl +1 -0
- meta/info.json +101 -0
- meta/tasks.jsonl +1 -0
- videos/chunk-000/observation.images.main/episode_000000.mp4 +3 -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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# example_dataset
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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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version https://git-lfs.github.com/spec/v1
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oid sha256:ad903c760f0418cfe6daa46910224463a7729358561b9dc88ee91dea5f7ab98d
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size 21777
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["None"],"length":727}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [0.15650424940960142, 0.3145428542055715, 1.4653093939820525, 0.5937955345246642, 0.7257500977523673, 1.6831878588463995], "min": [-0.1043361662730676, -1.6494320403462894, -0.2516342833644572, -0.0629085708411143, 0.004603066159105924, 0.013809198477317772], "mean": [-0.04625226725208965, -0.7116475355904501, 0.6940837040562581, 0.23623163465783253, 0.30352166599701663, 0.7852839309555109], "std": [0.057639826703466485, 0.7978476372948833, 0.6625279751683495, 0.3001767511637034, 0.3533143112779904, 0.8208786742167978], "count": [727]}, "action": {"max": [0.15650424940960142, 0.3145428542055715, 1.4653093939820525, 0.5937955345246642, 0.7257500977523673, 1.6831878588463995], "min": [-0.1043361662730676, -1.6494320403462894, -0.2516342833644572, -0.0629085708411143, 0.004603066159105924, 0.013809198477317772], "mean": [-0.04625226725208965, -0.7116475355904501, 0.6940837040562581, 0.23623163465783253, 0.30352166599701663, 0.7852839309555109], "std": [0.057639826703466485, 0.7978476372948833, 0.6625279751683495, 0.3001767511637034, 0.3533143112779904, 0.8208786742167978], "count": [727]}, "timestamp": {"max": [25.95612579099543], "min": [0.0007429999968735501], "mean": [12.932733617158286], "std": [7.553916935523629], "count": [727]}, "frame_index": {"max": [726], "min": [0], "mean": [363.0], "std": [209.86662431172803], "count": [727]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [727]}, "index": {"max": [726], "min": [0], "mean": [363.0], "std": [209.86662431172803], "count": [727]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [727]}, "observation.images.main": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.5024310946464539]], [[0.5010987520217896]], [[0.4723612070083618]]], "std": [[[0.28074541687965393]], [[0.3134045898914337]], [[0.343641072511673]]], "count": [55833600]}}}
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meta/info.json
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{
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"robot_type": "so-100",
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"codebase_version": "v2.1",
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"total_episodes": 1,
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"total_frames": 727,
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"total_tasks": 1,
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"total_videos": 1,
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"total_chunks": 1,
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"chunks_size": 1000,
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"fps": 30,
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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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"action": {
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"dtype": "float32",
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"shape": [
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],
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"names": [
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"motor_1",
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"motor_2",
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"motor_3",
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"motor_4",
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"motor_5",
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"motor_6"
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]
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},
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"observation.state": {
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"dtype": "float32",
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"names": [
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"motor_1",
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"motor_2",
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"motor_3",
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"motor_4",
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"motor_5",
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"motor_6"
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]
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},
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"timestamp": {
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"dtype": "float32",
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"episode_index": {
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},
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"observation.images.main": {
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"dtype": "video",
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"shape": [
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"names": [
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"height",
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"info": {
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"video.codec": "avc1",
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"video.pix_fmt": "yuv420p",
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"video.is_depth_map": false,
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"has_audio": false
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}
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}
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}
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}
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meta/tasks.jsonl
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{"task_index":0,"task":"None"}
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videos/chunk-000/observation.images.main/episode_000000.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:69886f8cef4e400886db06df16a0160a3d7d394048a45ff921e322ffe1a32ea5
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size 440081
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