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Browse files- README.md +15 -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
- data/chunk-000/episode_000006.parquet +3 -0
- data/chunk-000/episode_000007.parquet +3 -0
- data/chunk-000/episode_000008.parquet +3 -0
- data/chunk-000/episode_000009.parquet +3 -0
- data/chunk-000/episode_000010.parquet +3 -0
- data/chunk-000/episode_000011.parquet +3 -0
- data/chunk-000/episode_000012.parquet +3 -0
- data/chunk-000/episode_000013.parquet +3 -0
- data/chunk-000/episode_000014.parquet +3 -0
- data/chunk-000/episode_000015.parquet +3 -0
- data/chunk-000/episode_000016.parquet +3 -0
- data/chunk-000/episode_000017.parquet +3 -0
- meta/episodes.jsonl +18 -0
- meta/info.json +93 -0
- meta/stats.json +166 -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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# so100-tictactoe
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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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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":334}
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{"episode_index":3,"tasks":["Take a black circle and place it in square A1 on the board."],"length":340}
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{"episode_index":4,"tasks":["Take a black circle and place it in square A1 on the board."],"length":350}
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{"episode_index":5,"tasks":["Take a black circle and place it in square A1 on the board."],"length":300}
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{"episode_index":6,"tasks":["Take a black circle and place it in square A1 on the board."],"length":317}
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{"episode_index":7,"tasks":["Take a black circle and place it in square A1 on the board."],"length":275}
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{"episode_index":8,"tasks":["Take a black circle and place it in square A1 on the board."],"length":317}
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{"episode_index":9,"tasks":["Take a black circle and place it in square A1 on the board."],"length":312}
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{"episode_index":10,"tasks":["Take a black circle and place it in square A1 on the board."],"length":333}
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{"episode_index":11,"tasks":["Take a black circle and place it in square A1 on the board."],"length":321}
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{"episode_index":14,"tasks":["Take a black circle and place it in square A1 on the board."],"length":341}
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{"episode_index":15,"tasks":["Take a black circle and place it in square A1 on the board."],"length":375}
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{"episode_index":16,"tasks":["Take a black circle and place it in square A1 on the board."],"length":327}
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{"episode_index":17,"tasks":["Take a black circle and place it in square A1 on the board."],"length":319}
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meta/info.json
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"robot_type": "so-100",
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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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"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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"y2"
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}
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meta/stats.json
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|
meta/tasks.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"task_index":0,"task":"Take a black circle and place it in square A1 on the board."}
|