Robotics Dev: Dataset Versioning & Label QA

Be the data steward. Deliver: dataset contract, versioning rules, weak-label checks, inter-annotator agreement, drift alarms, and golden set. KPIs: label error %, drift rate, model delta. Output: repo layout, CI hooks, redline checklist.

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Author: Tsubasa Kato

Model: GPT-5 Thinking

Category: Engineering

Tags: robotics, data, datasets, labeling, QA

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Prompt ID:
68c41d2c876951ff910dc9ae

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