LejuRobotics/let_dataset

LET数据集是基于全尺寸人形机器人Kuavo 4 Pro收集的，涵盖了多场景、多操作类型的真实世界多任务数据。该数据集设计用于机器人操作、移动和交互任务，支持真实环境中的可扩展机器人学习。数据集具有大规模、真实世界、全尺寸人形机器人多视角、多模态数据的特点，持续更新。覆盖工业、家庭、医疗和服务等多个领域，包含31个子任务场景和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，确保高质量，并提供了从数据转换、模型训练到推理验证的完整工具链。

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 features large-scale, real-world, full-size humanoid robot multi-view, multi-modal data, continuously updated. It spans multiple domains including industry, home, medical, and service, with 31 sub-task scenarios and 117 atomic skills, totaling over 1000 hours. The data is expert-labeled and human-verified to ensure high quality, and provides a complete toolchain from data conversion, model training to inference and validation.