Sign inGet started
Dataset Β· Hugging Face

ASLP-lab/SongEval

SongEval 🎡 A Large-Scale Benchmark Dataset for Aesthetic Evaluation of Complete Songs πŸ“– 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. 🌟 Features… See the full description on the dataset page: https://huggingface.co/datasets/ASLP-lab/SongEval.

Author / organizationASLP-lab
License (as declared)cc-by-nc-sa-4.0
Downloads4.5K (as reported by Hugging Face)
Likes25
Created16 May 2025
Last updated at source9 August 2025
Embed this entry
<iframe src="https://silytics.si/embed/item/1039f33f-d992-4a01-b4e1-e125d3bf04ed" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from ASLP-lab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.