HuangRi-believe/test

LET数据集是基于全尺寸人形机器人Kuavo 4 Pro收集的，覆盖了多个场景和操作类型的多任务数据。它旨在用于机器人操作、移动和交互任务，支持在真实环境中进行可扩展的机器人学习。该数据集包括117种原子技能，总时长超过1000小时，数据经过专家标注和人工验证，以确保高质量。此外，该数据集还提供了一个从数据转换、模型训练到推理和验证的完整工具链。

The LET Dataset is collected based on the full-size humanoid robot Kuavo 4 Pro, covering real-world multi-task data across multiple scenarios and operation types. It is designed for robot manipulation, mobility, and interaction tasks, supporting scalable robot learning in real environments. The dataset includes 117 atomic skills with a total duration of over 1000 hours, expert-labeled and human-verified data to ensure high quality, and a complete toolchain from data conversion, model training to inference and validation.