hakka_TTS / README.md
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---
language:
- hak
task_categories:
- automatic-speech-recognition
- text-to-speech
pretty_name: Hakka TTS Synthetic Speech Corpus
size_categories:
- 1M<n<10M
---
# Hakka TTS Synthetic Speech Corpus
This public corpus contains 6,498,285 synthetic Hakka utterances
(15,539.41 hours) as 16 kHz FLAC audio. The FLAC files are stored in
uncompressed tar shards; FLAC itself provides lossless audio compression.
## Layout
- `metadata.jsonl`: one row per audio file.
- `audio_shards/audio-NNNNN.tar`: FLAC archive shards.
- `package_stats.json`: package counts and sizes.
Each metadata row contains `text`, `hakka_text`, `lang`, `duration`,
`audio_archive`, and `audio_filepath`. To resolve one row, open the relative
tar file named by `audio_archive` and read the member named by
`audio_filepath`. If all tar files are extracted at the repository root,
`audio_filepath` is also the extracted relative path.
The `source` field distinguishes `moe`, `elearning`, and generated `concat`
records. The `dialect` field preserves the dialect directory assigned by the
generation pipeline.
## Integrity
The package is published only after every input row is written exactly once.
Archive members and metadata rows are generated in the same loop, and the
final row count must match 6,498,285 before upload starts.