Dataset Preparation
The following sections describe the dataset preparation workflow for Imitation Learning, which consists of two main stages: Dataset Recording and Dataset Visualization. The recording stage explains how to collect data using either the Web GUI or the LeRobot CLI. The visualization stage focuses on verifying data quality by allowing users to inspect the recorded dataset.
Dataset Recording
You can record your own dataset using one of the following methods:
1. Web UI (Physical AI Manager) – Recommended
You can record your dataset using the Web UI provided by the Physical AI Manager.
Option 1Web UI (Recommended)
2. LeRobot CLI – Deprecated (legacy use only)
This method is no longer officially supported, but remains available for legacy users or automated workflows.
Option 2LeRobot CLI
Dataset Visualization
In the Dataset Visualization stage, you can visually inspect the collected dataset to ensure its quality.