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Massive Text Embeddings Benchmark

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MAEB
MAEB is a comprehensive audio benchmark with 30 tasks spanning both audio-only and audio-text cross-modal evaluation. Tasks span 7 task types: retr...
HUME
The HUME benchmark is designed to evaluate the performance of text embedding models and humans on a comparable set of tasks. This captures areas wh...
MTEB Papers
This is a collection of MTEB papers (not exhaustive).