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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 +121 -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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# demo_tic_tac_toe_A1
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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:f94ae15fb13d2c26f43be5acbebcf9a549e21e93125da9cce3a8354aa62dbb90
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size 34288
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meta/episodes.jsonl
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{"episode_index":0,"tasks":["Take a black circle and place it in square A1 on the board."],"length":293}
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meta/episodes_stats.jsonl
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{"episode_index": 0, "stats": {"observation.state": {"max": [0.9166402541819357, 0.3827441528700509, 0.7461653570937179, 0.3394077426080794, 0.294347538814863, 1.5000000000000009], "min": [-0.04549172764242602, -0.27102935401610456, -0.36279101948502823, -0.3311728918763295, -0.002712549450564558, -5.428607013075564e-19], "mean": [0.3939676973842239, 0.09346971593761043, 0.3028564061422315, -0.05623032665639196, 0.19257775342601474, 0.9155659855632652], "std": [0.33663431527048204, 0.17476087340170438, 0.32927132715989216, 0.21509676217677492, 0.06835722542618416, 0.7264189745290618], "sum": [115.4325353335776, 27.386626769719857, 88.73692699967384, -16.475485710322843, 56.42528175382232, 268.2608337700367], "square_sum": [78.68023017835714, 11.508439546188148, 58.64149162189034, 14.482540753301265, 12.235358105095088, 400.2220609395521], "count": 293}, "action": {"max": [0.9166402541819357, 0.3827441528700509, 0.7461653570937179, 0.3394077426080794, 0.294347538814863, 1.5000000000000009], "min": [-0.04549172764242602, -0.27102935401610456, -0.36279101948502823, -0.3311728918763295, -0.002712549450564558, -5.428607013075564e-19], "mean": [0.3939676973842239, 0.09346971593761043, 0.3028564061422315, -0.05623032665639196, 0.19257775342601474, 0.9155659855632652], "std": [0.33663431527048204, 0.17476087340170438, 0.32927132715989216, 0.21509676217677492, 0.06835722542618416, 0.7264189745290618], "sum": [115.4325353335776, 27.386626769719857, 88.73692699967384, -16.475485710322843, 56.42528175382232, 268.2608337700367], "square_sum": [78.68023017835714, 11.508439546188148, 58.64149162189034, 14.482540753301265, 12.235358105095088, 400.2220609395521], "count": 293}, "timestamp": {"max": [12.978735083976062], "min": [0.004063375003170222], "mean": [6.305979618042192], "std": [3.693948321722815], "sum": [1847.6520280863624], "square_sum": [15649.31551198965], "count": 293}, "frame_index": {"max": [292], "min": [0], "mean": [146.0], "std": [84.581321815162], "sum": [42778], "square_sum": [8341710], "count": 293}, "episode_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "sum": [0], "square_sum": [0], "count": 293}, "index": {"max": [292], "min": [0], "mean": [146.0], "std": [84.581321815162], "sum": [42778], "square_sum": [8341710], "count": 293}, "task_index": {"max": [0], "min": [0], "mean": [0.0], "std": [0.0], "sum": [0], "square_sum": [0], "count": 293}, "observation.images.main": {"max": [[[0.9803921580314636]], [[0.9607843160629272]], [[0.9607843160629272]]], "min": [[[0.0]], [[0.0]], [[0.0]]], "mean": [[[0.4714205595847554]], [[0.44315188602104666]], [[0.4237933287116041]]], "std": [[[0.2447678358760909]], [[0.23307103728012496]], [[0.2333890463184068]]], "sum": [10608094.0, 9971981.0, 9536367.0], "square_sum": [6349021.5, 5641480.0, 5267164.5], "count": 22502400}}}
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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": 293,
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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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"episode_index": {
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"dtype": "int64",
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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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"names": [
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"height",
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"width",
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"channel"
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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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"observation.images.secondary_0": {
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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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"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":"Take a black circle and place it in square A1 on the board."}
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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:c7e1b91997030bd9b061367dc9c1f04cd4b7f79c1605941a3c13b20f1843595c
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size 272344
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