Datasets:

WTFO
/

tatts

license: other
language:
  - nan
  - zh
task_categories:
  - automatic-speech-recognition
  - translation
tags:
  - taiwanese-hokkien
  - speech-to-text-translation
  - synthetic-data
configs:
  - config_name: audio
    data_files:
      - split: train
        path: audio/nan_based_on_zh/train/*.parquet
  - config_name: corpus
    data_files:
      - split: train
        path: corpus/nan_based_on_zh.train.jsonl

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.