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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 +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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# piano-11
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**This dataset was generated using a [phospho starter pack](https://robots.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 and RLDS.
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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 sha256:3cbd87ac2bdaff259c04934687ca73a907aef62036c5daa9eb82eb5b7579ab0b
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size 23035
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["play piano"],"length":374}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [0.7978648009116935, 0.5416274513881304, 0.47718452516064747, 0.02454968618189826, 3.346429097670007, 0.7748494701161639], "min": [0.48792501286522794, 0.07671776931843206, -0.05523679390927109, -0.2930618787964105, 2.7603053400771858, 0.7717807593434266], "mean": [0.6028129493354635, 0.31938797108070893, 0.20845489715715773, -0.12945610753171785, 2.919886505368544, 0.773413576038011], "std": [0.08202951529151033, 0.11179614366144583, 0.12627069433837582, 0.1042242917615832, 0.20602022115159158, 0.000711672013848644], "count": [374]}, "action": {"max": [0.7978648009116935, 0.5416274513881304, 0.47718452516064747, 0.02454968618189826, 3.346429097670007, 0.7748494701161639], "min": [0.48792501286522794, 0.07671776931843206, -0.05523679390927109, -0.2930618787964105, 2.7603053400771858, 0.7717807593434266], "mean": [0.6028129493354635, 0.31938797108070893, 0.20845489715715773, -0.12945610753171785, 2.919886505368544, 0.773413576038011], "std": [0.08202951529151033, 0.11179614366144583, 0.12627069433837582, 0.1042242917615832, 0.20602022115159158, 0.000711672013848644], "count": [374]}, "timestamp": {"max": [13.051080584002193], "min": [0.001284625002881512], "mean": [6.513350467033401], "std": [3.783009177455144], "count": [374]}, "frame_index": {"max": [373], "min": [0], "mean": [186.5], "std": [107.96411440844592], "count": [374]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [374]}, "index": {"max": [373], "min": [0], "mean": [186.5], "std": [107.96411440844592], "count": [374]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [374]}, "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": [28723200]}}}
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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": 374,
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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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6
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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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"shape": [
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6
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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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"timestamp": {
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"dtype": "float32",
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"shape": [
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"names": null
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},
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"episode_index": {
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"dtype": "int64",
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"shape": [
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"names": null
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},
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"frame_index": {
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"dtype": "int64",
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"shape": [
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"task_index": {
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"names": null
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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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240,
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],
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"names": [
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"height",
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"width",
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"channel"
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],
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"info": {
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"video.fps": 30,
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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":"play piano"}
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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 sha256:123c8c12501ef68a69597ae298d6facd0e297ac7f1de1d155aeff7eb37913eee
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size 25580
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