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LegrandFrederic
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Marker_pickup_piper

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Robotics
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-
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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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- # Marker_pickup_piper
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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  ---
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+ license: apache-2.0
 
 
 
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  task_categories:
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+ - robotics
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+ tags:
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+ - LeRobot
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+ configs:
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+ - config_name: default
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+ data_files: data/*/*.parquet
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  ---
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+ This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
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+
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+ ## Dataset Description
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+
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+
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+
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+ - **Homepage:** [More Information Needed]
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+ - **Paper:** [More Information Needed]
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+ - **License:** apache-2.0
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+
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+ ## Dataset Structure
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+
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+ [meta/info.json](meta/info.json):
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+ ```json
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+ {
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+ "robot_type": "agilex-piper",
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+ "codebase_version": "v3.0",
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+ "total_episodes": 39,
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+ "total_frames": 28685,
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+ "total_tasks": 1,
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+ "chunks_size": 1000,
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+ "fps": 30,
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+ "splits": {
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+ "train": "0:39"
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+ },
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+ "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
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+ "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.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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+ 7
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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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+ "motor_7"
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+ ],
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+ "fps": 30
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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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+ 7
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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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+ "motor_7"
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+ ],
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+ "fps": 30
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+ },
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+ "timestamp": {
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+ "dtype": "float32",
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+ "shape": [
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+ 1
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+ ],
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+ "names": null,
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+ "fps": 30
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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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+ 1
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+ ],
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+ "names": null,
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+ "fps": 30
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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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+ 1
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+ ],
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+ "names": null,
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+ "fps": 30
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+ },
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+ "task_index": {
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+ "dtype": "int64",
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+ "shape": [
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+ 1
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+ ],
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+ "names": null,
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+ "fps": 30
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+ },
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+ "index": {
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+ "dtype": "int64",
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+ "shape": [
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+ 1
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+ ],
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+ "names": null,
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+ "fps": 30
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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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+ 320,
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+ 3
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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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+ "observation.images.secondary_0": {
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+ "dtype": "video",
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+ "shape": [
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+ 240,
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+ 320,
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+ 3
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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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+ "data_files_size_in_mb": 100,
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+ "video_files_size_in_mb": 500
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+ }
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+ ```
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+
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+ ## Citation
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+ **BibTeX:**
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+ ```bibtex
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+ [More Information Needed]
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+ ```