Dataset · Hugging Face

YellowPhoenix/fully-offline-semantic-search-apple-watch

Name: fully-offline-semantic-search-apple-watch
Creator: YellowPhoenix
License: agpl-3.0
Keywords: task_categories:feature-extraction, task_categories:text-retrieval, source_datasets:original, language:en, license:agpl-3.0, size_categories:1K<n<10K, format:json, modality:tabular, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us

Fully Offline Semantic Search on an Apple Watch and iPhone — 86.5% Top-10 @ 3.9M · 94% @ 4.9M · Airplane Mode Measurement data kit + real-hardware demo videos for "Yellow Phoenix: Semantic Search on an Apple Watch — 86.5% Top-10 Fidelity at 3.9M Documents, Bit-Identical from watchOS to iOS to macOS and Linux" (Marc John Sawyer, 2026). Binary HNSW + 1024-bit re-rank; one continuous-take video shows the Watch answering in 34.8 ms, and the iPhone re-rank video was recorded in… See the full description on the dataset page: https://huggingface.co/datasets/YellowPhoenix/fully-offline-semantic-search

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Author / organization	YellowPhoenix
License (as declared)	agpl-3.0
Downloads	274 (as reported by Hugging Face)
Likes	0
Created	5 November 2026
Last updated at source	7 November 2026

semantic-searchvector-searchbinary-hashinghnswbenchmark-dataon-device-retrievaloffline-searchedge-aiairplane-mode

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