metadata
configs:
- config_name: ja
data_files:
- split: train
path: corpus/ja.train.clean.jsonl
- split: eval
path: corpus/ja.eval.clean.jsonl
- config_name: ja-5000h
data_files:
- split: train
path: corpus/ja.train.coverage-5000h.jsonl
- split: eval
path: corpus/ja.eval.clean.jsonl
- config_name: >-
audio-joujiboi_japanese_anime_metadata__joujiboi_galgame_visualnovel_reupload
data_files:
- split: train
path: >-
audio/joujiboi_japanese_anime_metadata__joujiboi_galgame_visualnovel_reupload/*/part-*.parquet
- config_name: audio-joujiboi_japanese_anime_metadata__joujiboi_japanese_anime_speech
data_files:
- split: train
path: >-
audio/joujiboi_japanese_anime_metadata__joujiboi_japanese_anime_speech/*/part-*.parquet
- config_name: audio-joujiboi_japanese_anime_metadata__joujiboi_japanese_anime_speech_v2
data_files:
- split: train
path: >-
audio/joujiboi_japanese_anime_metadata__joujiboi_japanese_anime_speech_v2/*/part-*.parquet
- config_name: audio-joujiboi_japanese_anime_metadata__joujiboi_kuroyukihime_speech
data_files:
- split: train
path: >-
audio/joujiboi_japanese_anime_metadata__joujiboi_kuroyukihime_speech/*/part-*.parquet
- config_name: audio-reazon_research_reazonspeech__ja_jp
data_files:
- split: train
path: audio/reazon_research_reazonspeech__ja_jp/*/part-*.parquet
ja cleaned speech corpus
This refresh provides a converged full train manifest, a frozen eval manifest, and a token-coverage subset of approximately 5000 hours. All three manifests reuse the existing validated FLAC-in-Parquet audio pool; no audio was copied, repacked, or transcoded for this refresh.
Corpus overview
| Variant | Rows | Hours |
|---|---|---|
| train | 20,287,864 | 35593.858 |
| coverage_5000h | 2,754,595 | 5000.000 |
| eval | 1,246 | 1.998 |
All audio locators are portable and have the form
audio/<subset>/<group>/part-N.parquet#row=N.
The release audit records exact input/output hashes, rejected audio mappings, language-tag validation, and zero train/eval audio-identity overlap.
from datasets import load_dataset
ds = load_dataset("WTForbes/ja", "ja-5000h", split="train")