Datasets:
TATTS
Synthetic Taiwanese Hokkien speech paired with written Mandarin targets. This
release is intended for listening in Taiwanese Hokkien and writing Mandarin
(S2TT); text is therefore the Mandarin training target, while tailo_hant
and tailo_pinyin describe the spoken content. The labels were not replaced
during packaging.
This is the latest fully frozen and audited snapshot from the ongoing Hua/Tailo TTS pipeline. New generated rows are published only after the same integrity checks have completed, so a live partial batch is never mixed into this release.
Release statistics
- Rows: 106,325
- Audio: 233.385 hours
- Unique Mandarin targets: 4,253
- Variants per target: 25: 4,253 targets
- Audio Parquet shards: 30
- Audio encoding: FLAC, PCM16, 16 kHz, mono
Configs and columns
The audio config is directly loadable with Hugging Face Datasets and embeds
FLAC bytes. Important columns are audio, text, tailo_hant,
tailo_pinyin, lang, duration, source/provenance identifiers, speaker
attributes, and augmentation parameters.
The corpus config contains the same public metadata without binary audio.
Its audio_filepath values are portable Parquet row locators such as
audio/nan_based_on_zh/train/part-....parquet#row=N; no cluster-local absolute
paths are published.
Packaging validation
Every frozen source row had a unique ID and audio path, accepted pipeline statuses, and a complete 25-variant target group. Every FLAC was checked against its recorded byte size and SHA256, fully decoded, confirmed non-silent PCM16 at 16 kHz mono, and checked against metadata duration within 1.01 audio samples. The Parquet files copied from node-local staging were verified again by SHA256 before publication readiness was marked.
This corpus contains synthetic and augmented speech. Review the upstream data and voice-reference licensing/provenance before redistribution or commercial use; the package does not claim a permissive blanket license.
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