| --- |
| 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. |
| |
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("WTForbes/ja", "ja-5000h", split="train") |
| ``` |
| |
