Semantic Search for HF Datasets for Just 3 Cents
vanstriendaniel · x · 2026-07-16
The author shares a semantic search workflow for Hugging Face datasets: using open-source models to transcribe and perform speaker diarization on Apollo 11 audio, then generating embeddings via another Hugging Face Job to enable semantic retrieval across 45,355 utterances.
They note the process is highly cost- and time-efficient: processing 175 hours of audio cost $9.46, while the semantic search took just 261 seconds and $0.03. The search also handles synonyms effectively—querying "trouble with the radio" successfully retrieves phrases like "your transmission is breaking up" and "My antenna's out".
Related event: Low-Cost Semantic Search for Hugging Face Datasets(2 posts)→
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