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maimai11/b150_official_train

b150_official_train This release contains the high-confidence b150 training split used by MAGIC-TTS, with standalone MFA word-level alignments distributed separately from prepared Arrow artifacts. Related links: GitHub repo: https://github.com/yongaifadian1/MAGIC-TTS arXiv paper: https://arxiv.org/abs/2604.21164 Open-source model: https://huggingface.co/maimai11/MAGIC-TTS Online demo: https://yongaifadian1.github.io/MAGIC-TTS/ Stats: Total samples: 201986 English: 78363… See the full description on the dataset page: https://huggingface.co/datasets/maimai11/b150_official_train.

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b150officialtrain

This release contains the high-confidence b150 training split used by MAGIC-TTS, with standalone MFA word-level alignments distributed separately from prepared Arrow artifacts.

Related links:

  • —GitHub repo: https://github.com/yongaifadian1/MAGIC-TTS
  • —arXiv paper: https://arxiv.org/abs/2604.21164
  • —Open-source model: https://huggingface.co/maimai11/MAGIC-TTS
  • —Online demo: https://yongaifadian1.github.io/MAGIC-TTS/

Stats:

  • —Total samples: 201986
  • —English: 78363
  • —Chinese: 123623

Files:

  • —selected_samples.exported.jsonl: manifest with sample_id, utt_id, language, audio_path, duration, and target_text
  • —raw_audio_en.tar.part-*: split English raw audio bundle
  • —raw_audio_zh.tar.part-*: split Chinese raw audio bundle
  • —mfa_sidecars.tar.part-*: split standalone MFA word-level alignments with relative audio_path, ready to be reused during local dataset preparation

Notes:

  • —Reconstruct tar files first:
bash
cat raw_audio_en.tar.part-* > raw_audio_en.tar
cat raw_audio_zh.tar.part-* > raw_audio_zh.tar
cat mfa_sidecars.tar.part-* > mfa_sidecars.tar
  • —Then extract:
bash
mkdir -p raw
tar -xf raw_audio_en.tar -C raw
tar -xf raw_audio_zh.tar -C raw
tar -xf mfa_sidecars.tar
  • —After extraction, the dataset layout becomes raw/audio/... and mfa_sidecars/....
  • —Arrow artifacts are intentionally not included in this release.