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FGMCaps-benchmark

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music-retrieval

audio-text-retrieval

contrastive-learning

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nishitanand commited on Jul 5

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 **Accepted to ACL 2026.**
 **FGMCaps-Test** is a benchmark for **fine-grained music retrieval**: retrieving music from
-natural-language descriptions that specify precise musical attributes, introduced in the paper **'FIGMA: Towards FIne-Grained Music retrievAl'**. This
 benchmark provides **10,000 music clips**, each paired with a single-sentence caption
 that describes fine-grained musical characteristics — **tempo (BPM), musical key,
 chord progression, and beat / time signature** — alongside higher-level descriptive

 **Accepted to ACL 2026.**
 **FGMCaps-Test** is a benchmark for **fine-grained music retrieval**: retrieving music from
+natural-language descriptions that specify precise musical attributes, introduced in the paper '**FIGMA: Towards FIne-Grained Music retrievAl**'. This
 benchmark provides **10,000 music clips**, each paired with a single-sentence caption
 that describes fine-grained musical characteristics — **tempo (BPM), musical key,
 chord progression, and beat / time signature** — alongside higher-level descriptive