On September 17, 2026, Leju Robot officially released the LET2.0 multi-robot consistency real-machine dataset, built on a production line capable of 10,000 humanoid robots and a scaled training ground. The dataset marks the first time real-machine data from identical robots can be merged for training and reuse, shifting the paradigm from "single-machine, single-use" to "multi-machine reuse," and its initial release includes 2,000 entries of KUAVO real-machine data. To tackle data consistency issues caused by assembly tolerances, joint zero positions, and camera placement, LET2.0 establishes a unified calibration, collection standard, and quality control traceability system to merge data across multiple units. The initial batch covers two industrial tasks: picking up medium-sized express bags and sorting switch workpieces. In cross-robot validation, two calibrated KUAVO 5W robots used the same model for parcel sorting, achieving success rates of 88.9% and 86.1%, confirming the feasibility of reusing data across different robot bodies. The dataset spans home service, commercial service, industrial operations, and warehousing and logistics scenarios, and encompasses basic manipulation, whole-body motion control, and force and tactile sensing data categories, with each entry fully recording posture, trajectory, visual, and depth information. Developers can access the data and toolchain through the OpenLET community, which supports the full workflow from data application and training to deployment and evaluation.