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.