Tar-sharded speech / TTS dataset with a custom Hugging Face loader.
Designed for streaming, low memory usage, and raw byte access.
from datasets import load_dataset
ds = load_dataset(
"thangylvp/test500",
split="train",
trust_remote_code=True,
)
Each sample corresponds to one (channel, id):
channel (string)
id (string)
transcribe_assembly (string)
tokenize_vibevoice (bytes)
Data is stored in… See the full description on the dataset page:
https://huggingface.co/datasets/thangylvp/test123.
