th cleaned speech corpus

This refresh provides a converged full train manifest, a frozen eval manifest, and a token-coverage subset of approximately 5000 hours. All three manifests reuse the existing validated FLAC-in-Parquet audio pool; no audio was copied, repacked, or transcoded for this refresh.

Corpus overview

Variant	Rows	Hours
train	11,756,895	13412.724
coverage_5000h	4,338,927	4999.983
eval	1,772	2.001

All audio locators are portable and have the form audio/<subset>/<group>/part-N.parquet#row=N.

The release audit records exact input/output hashes, rejected audio mappings, language-tag validation, and zero train/eval audio-identity overlap.

from datasets import load_dataset
ds = load_dataset("WTForbes/th", "th-5000h", split="train")