ASLP-lab/SongEval
SongEval π΅ A Large-Scale Benchmark Dataset for Aesthetic Evaluation of Complete Songs π Overview SongEval is the first open-source, large-scale benchmark dataset designed for aesthetic evaluation of complete songs. It provides over 2,399 songs (~140 hours) annotated by 16 expert raters across five perceptual dimensions. The dataset enables research in evaluating and improving music generation systems from a human aesthetic perspective. π Featuresβ¦ See the full description on the dataset page: https://huggingface.co/datasets/ASLP-lab/SongEval.
| Author / organization | ASLP-lab |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 4.5K (as reported by Hugging Face) |
| Likes | 25 |
| Created | 16 May 2025 |
| Last updated at source | 9 August 2025 |
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