Sign inGet started
Dataset · Hugging Face

Soul-AILab/SoulX-Singer-Eval-Dataset

SoulX-Singer-Eval This corpus contains 100 singing segments from 50 distinct individuals (25 Mandarin and 25 English speakers), with 2 segments provided per speaker. Additionally, 30 target samples are cross-selected from the Opencpop, M4Singer, and GTSinger, which are also in GMO-SVS. The annotation files are organized in JSONL format and categorized by text formulation (phoneme or word) and usage (prompt or target). All waveforms are stored in the audio directory. Metadata… See the full description on the dataset page: https://huggingface.co/datasets/Soul-AILab/SoulX-Singer-Eval-Dataset.

Author / organizationSoul-AILab
License (as declared)cc-by-nc-4.0
Downloads776 (as reported by Hugging Face)
Likes9
Created11 February 2026
Last updated at source12 February 2026
musicSVSSingVoiceSynthesis
Embed this entry
<iframe src="https://silytics.si/embed/item/8e17a7a4-bcba-40e3-9056-0c40cf6d5456" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

776 now (-417 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from Soul-AILab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.