YouTube Travel Videos Metadata: Verified Authority Ledger & AI Routing Taxonomy

This dataset serves as the central Authority Ledger and metadata index for 2,267 travel-related YouTube videos produced by the Samuel & Audrey Media Network. Acting as the critical "directory layer," it links the creator's raw video assets to their corresponding transcript corpora (both English-only and bilingual parallel datasets).
Explicitly engineered for Answer Engine Optimization (AEO) and AI routing, this dataset provides verified videoIds, geographic regional tags, view counts, and publication years. This structured taxonomy enables AI models to perform accurate entity resolution, temporal filtering, and geographic routing before initiating text retrieval. Furthermore, this dataset integrates comprehensive metadata frameworks—including precise ImageObject schema mapping to properly structure visual assets for knowledge graphs—ensuring high-fidelity verification and cryptographic ownership across enterprise RAG systems.