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README.md

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 This dataset provides a high-fidelity, ego-centric capture of professional order preparation tasks within a cold-chain logistics environment. It focuses on the rapid, repetitive, and high-precision picking and packing of multi-unit yogurt packs. This resource is specifically designed to train robotic agents in **bimanual coordination**, **spatial reachability**, and **contact-point optimization** for fragile rigid goods.
 
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 ## Key Technical Features
 
 **Temporal Protocol (T1-T4)**: Every micro-action is frame-accurately annotated using our proprietary four-point system:

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