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README.md
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---
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language:
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- en
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license: cc-by-nc-4.0
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pretty_name: Exylos Pick & Place Sample
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task_categories:
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- robotics
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size_categories:
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- n<1K
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tags:
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- lerobot
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- robot-learning
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- imitation-learning
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- manipulation
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- pick-and-place
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- multi-view
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- phase-annotations
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- failure-recovery
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- panda
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---
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# Exylos Pick & Place Sample
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## Dataset Summary
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Exylos Pick & Place Sample is a compact multi-view robotics dataset in LeRobot-style structure for a single manipulation task: pick up an object and place it into a container.
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This public release is intended as an inspection-friendly sample of the dataset format, modalities, and annotation schema rather than a large-scale benchmark.
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### Highlights
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- 50 episodes
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- 1 task
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- 5 synchronized RGB camera views per episode
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- 30 FPS H.264 videos
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- 9D robot state
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- 9D action vectors
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- episode-level outcome metadata
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- phase-level annotations
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- success, failure, and recovery-rich trajectories
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- LeRobot-style organization for downstream policy learning and evaluation
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## Task
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The sample covers one manipulation task:
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**Pick up an object from the workspace and place it into a container.**
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## What is included
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Each episode combines:
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- robot state trajectories
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- action trajectories
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- synchronized multi-view RGB videos
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- episode-level success and failure metadata
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- phase-level annotations
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- derived quality metrics
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### Camera views
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The dataset includes five RGB video streams:
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- `observation.images.wrist_cam`
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- `observation.images.front_cam`
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- `observation.images.left_cam`
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- `observation.images.top_cam`
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- `observation.images.right_cam`
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### Core trajectory fields
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Main fields include:
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- `observation.state`
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- `action`
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- `timestamp`
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- `frame_index`
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- `episode_index`
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- `task_index`
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- `next.done`
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- `next.success`
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## Repository Structure
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```text
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README.md
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LICENSE
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info.json
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annotations.json
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tasks.jsonl
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episodes.jsonl
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episodes_stats.jsonl
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data/
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chunk-000/
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episode_000000.parquet
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episode_000001.parquet
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...
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videos/
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chunk-000/
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wrist_cam/
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episode_000000.mp4
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episode_000001.mp4
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...
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front_cam/
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...
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left_cam/
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...
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top_cam/
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...
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right_cam/
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...
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