license: cc
task_categories:
- text2text-generation
language:
- ja
tags:
- furigana
- education
pretty_name: 青空文庫振り仮名注釈付き音声コーパス(FLFL Train)
size_categories:
- 1M<n<10M
A more aggressively cleaned up version of Calvin-Xu/Furigana-Aozora-Speech, which consists of 2,536,041 out of the 3,361,443 entries generated from the raw data 青空文庫及びサピエの音声デイジーデータから作成した振り仮名注釈付き音声コーパスのデータセット https://github.com/ndl-lab/hurigana-speech-corpus-aozora. Training data of Calvin-Xu/FLFL.
The Whisper-generated transcriptions in the original dataset contains many errors. Additional sanity-checking is implemented to filter on reading of common kanji and eliminate wildly inaccurate entries (1,964,511 remaining).
Additionally as recognized by the original dataset authors, the consonant voicing (連濁) of many words, especially numbers / number + counters, is incorrect. Such words' readings were transformed in the training data (i.e., 十匹: じゅうひき -> じっぴき).
Calvin-Xu/FLFL is finetuned from stockmark/gpt-neox-japanese-1.4b and trained for slightly over one epoch on these data.
FLFL Output Example
国境の長いトンネルを抜けると雪国であった<|endoftext|>
鰤の照り焼き、八宝菜、ハンバーグ。<|endoftext|>
主菜関連は、見事なまでの和洋中折衷。<|endoftext|>
別の者の目を通じて歴史を垣間見られるとは、想像を超える体験に違いない!<|endoftext|>
止めるなら、その大本を根絶やしにしないと効果がないわ<|endoftext|>
不人気銘柄でこれ以上価値が下がりようないから、ほとんど底値だ<|endoftext|>
時間の澱の中に沈殿していたようだ。<|endoftext|>