Mixture audios grouped by number of speakers K with per-speaker components and chosen start times. Splits are named 'k1', 'k5', 'k10', etc.
from datasets import load_dataset
ds = load_dataset("enyoukai/libricount")
print(ds) # DatasetDict with splits by K (e.g., 'k1', 'k5', 'k10')
k5 = load_dataset("enyoukai/libricount", split="k5")
row = k5[0]
audio = row["audio"] # dict with path/array
mixture_filename: str
mixture_path:… See the full description on the dataset page:
https://huggingface.co/datasets/enyoukai/libricount.
