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Description
A remastered version of Reubencf/fma-labeled prepared using Adaption's Adaptive Data platform contains descriptive text prompts designed to generate diverse musical tracks. The prompts detail instrumentation, rhythmic patterns, atmospheric qualities, and emotional tones across genres like pop, techno, ambient, and rock. Author Reubencf last updated the dataset on 2026-04-24.
Use Cases
Training text-to-audio synthesis models based on descriptive prompts detailing instrumentation and rhythm.
Evaluating music generation AI on genre fidelity based on prompts specifying atmospheric qualities and emotional tones.
Creating benchmark datasets for conditional audio generation based on prompts covering genres like pop, techno, ambient, and rock.
Strengths
Descriptive prompts cover multiple musical genres including pop, techno, ambient, and rock.
Prompts detail specific instrumentation, rhythmic patterns, atmospheric qualities, and emotional tones.
Dataset is a remastered version of an existing source, suggesting potential curation.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and sample data are unknown, which may limit suitability assessment.
License information is unknown, which may restrict usage.
Provenance
Source
Reubencf/fma-labeled, remastered via Adaption's Adaptive Data platform.
Freshness
Last updated 2026-04-24 06:37:30; freshness should be verified.
License restrictions are unknown; users should verify before use.