en cleaned speech corpus

This refresh provides a converged full train manifest, a frozen eval manifest, and a token-coverage subset of approximately 5000 hours. The validated FLAC payloads are reused without decoding or transcoding. Completely referenced Parquet shards are hard-linked locally; partial shards are filtered into exact row-only Parquet files.

Corpus overview

Variant	Rows	Hours
train	10,486,951	49951.119
coverage_5000h	972,368	4999.858
eval	544	1.999

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("YuKuanFu/en", "en-5000h", split="train")

Packaging exclusions

Rows that could not be represented by the validated FLAC pool are omitted and recorded here rather than silently replaced:

Variant	Rows	Hours	Reasons
train	811	4.232495	duration_mismatch: 811
coverage_5000h	27	0.142076	duration_mismatch: 27