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.
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