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- README.md +9 -157
- data/chunk-000/episode_000000.parquet +2 -2
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README.md
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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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-
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- lerobot
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- so100
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data_files: data/*/*.parquet
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---
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## Dataset Description
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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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## Dataset Structure
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[meta/info.json](meta/info.json):
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```json
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{
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"codebase_version": "v2.1",
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"robot_type": "so100_follower",
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"total_episodes": 55,
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"total_frames": 26843,
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"total_tasks": 1,
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"total_videos": 110,
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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": "0:55"
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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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"shoulder_pan.pos",
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"shoulder_lift.pos",
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"elbow_flex.pos",
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"wrist_flex.pos",
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"wrist_roll.pos",
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"gripper.pos"
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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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"shoulder_pan.pos",
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"shoulder_lift.pos",
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"elbow_flex.pos",
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"wrist_flex.pos",
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"wrist_roll.pos",
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"gripper.pos"
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]
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},
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"observation.images.top": {
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"dtype": "video",
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"shape": [
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480,
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640,
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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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"channels"
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],
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"info": {
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"video.height": 480,
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"video.width": 640,
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"video.codec": "av1",
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"video.pix_fmt": "yuv420p",
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"video.is_depth_map": false,
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"video.fps": 30,
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"video.channels": 3,
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"has_audio": false
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}
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},
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"observation.images.wrist_left": {
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"dtype": "video",
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"shape": [
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480,
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640,
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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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"channels"
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],
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"info": {
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"video.height": 480,
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"video.width": 640,
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"video.codec": "av1",
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"video.pix_fmt": "yuv420p",
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"video.is_depth_map": false,
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"video.fps": 30,
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"video.channels": 3,
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"has_audio": false
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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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1
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],
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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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1
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],
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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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1
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],
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"names": null
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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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},
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"task_index": {
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"dtype": "int64",
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"shape": [
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],
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"names": null
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}
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}
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}
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```
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[More Information Needed]
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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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# shape_matching
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**This dataset was generated using the [phospho cli](https://github.com/phospho-app/phosphobot)**
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More information on [robots.phospho.ai](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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