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.