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Document corpus hours, rows, and JSONL examples
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metadata
configs:
  - config_name: ja
    data_files:
      - split: train
        path: corpus/ja.train.clean.jsonl

ja high-quality speech corpus

This dataset contains the guarded high-quality Japanese speech corpus and its source-partitioned audio.

All audio is FLAC PCM16. Source sample rate and channel count are preserved. Every packaged item passed a source-to-FLAC bit-identical PCM round trip and a separate full-release decode/hash validation.

Corpus rows use portable locators of the form audio/<subset>/<group>/part-N.parquet#row=N.

Corpus overview

Corpus/config Rows Approx. hours
ja 20,354,333 35,729.01

Audio subset overview

Counts below are unique packaged audio rows.

Audio subset Unique rows Approx. hours Rejected rows Parquet GiB
game_dialogue 3,922,808 6,211.25 1 865.84
anime_dialogue 65,438 101.92 0 14.47
anime_dialogue_v2 230,170 377.90 0 48.99
character_dialogue 4,469 6.79 0 0.73
general_speech 16,131,448 29,031.39 0 1,872.31

JSONL examples

Two abridged metadata examples are shown below. Physical audio locators and source identifiers are visible only after access approval.

{"text":"うぅ~ん。","context":"","duration":1.58,"lang":"<|JA|>","language":"<|JA|>"}
{"text":"世界、大丈夫?","context":"うぅ~ん。","duration":2.86,"lang":"<|JA|>","language":"<|JA|>"}

Download

Approved users can download the complete gated repository:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="WTForbes/ja",
    repo_type="dataset",
)

Or load the corpus configuration:

from datasets import load_dataset
corpus = load_dataset("WTForbes/ja", "ja")

Release totals

  • Unique audio: 20,354,333
  • Audio hours: 35,729.247
  • Parquet size: 3.008974 TB (2.736646 TiB)

See release.json for exact per-subset counts, hours, bytes, and corpus checksums.