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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 sha256:83179c6e58ad4550ffbee3d1af218236268919cf95ab1fd2bba1d1c08ad4f4d3
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size 7580
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["None"],"length":32}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [-0.09973310011396169, 1.428484864709205, -0.201000555614292, 0.19486313406881745, -0.07978648009116934, 2.1971969132798943], "min": [-0.2746496141599868, 0.7318875192978419, -1.2351560860267563, -0.222481531023453, -0.6137421545474565, 2.1971969132798943], "mean": [-0.1830198284302845, 1.0711718541086077, -0.7163521710108594, -0.057394481171352, -0.29632238399244387, 2.1971969132798956], "std": [0.062512313307154, 0.2685995133766671, 0.4018119717073885, 0.16482088276400242, 0.18621361943012665, 0.0], "count": [32]}, "action": {"max": [-0.09973310011396169, 1.428484864709205, -0.201000555614292, 0.19486313406881745, -0.07978648009116934, 2.1971969132798943], "min": [-0.2746496141599868, 0.7318875192978419, -1.2351560860267563, -0.222481531023453, -0.6137421545474565, 2.1971969132798943], "mean": [-0.1830198284302845, 1.0711718541086077, -0.7163521710108594, -0.057394481171352, -0.29632238399244387, 2.1971969132798956], "std": [0.062512313307154, 0.2685995133766671, 0.4018119717073885, 0.16482088276400242, 0.18621361943012665, 0.0], "count": [32]}, "timestamp": {"max": [1.1866237089998322], "min": [0.0013849170063622296], "mean": [0.5889594274094634], "std": [0.3503643069216849], "count": [32]}, "frame_index": {"max": [31], "min": [0], "mean": [15.5], "std": [9.233092656309694], "count": [32]}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [32]}, "index": {"max": [31], "min": [0], "mean": [15.5], "std": [9.233092656309694], "count": [32]}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "count": [32]}, "observation.images.main": {"max": [[[1.0]], [[1.0]], [[1.0]]], "min": [[[0.04313725605607033]], [[0.0117647061124444]], [[0.007843137718737125]]], "mean": [[[0.5324385166168213]], [[0.43495047092437744]], [[0.406144917011261]]], "std": [[[0.21591812372207642]], [[0.24474549293518066]], [[0.24004486203193665]]], "count": [2457600]}}}
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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": 32,
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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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],
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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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"dtype": "int64",
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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.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":"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 sha256:510907fe0125f938a6cba736553b8228f12e3c3dfd36a4b8b476b51e50f72ac0
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size 35260
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