README.md

metadata

license: apache-2.0
pretty_name: Test500

Test500

Tar-sharded speech / TTS dataset with a custom Hugging Face loader. Designed for streaming, low memory usage, and raw byte access.

Loading

from datasets import load_dataset

ds = load_dataset(
    "thangylvp/test500",
    split="train",
    trust_remote_code=True,
)

Sample format

Each sample corresponds to one (channel, id):

• channel (string)
• id (string)
• transcribe_assembly (string)
• tokenize_vibevoice (bytes)

Notes

• Data is stored in batch_*.tar shards
• Files for each sample are written contiguously in tar
• Audio and binary features are returned as raw bytes