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Update dataset card links and wording

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  1. README.md +10 -3
README.md CHANGED
@@ -4,8 +4,15 @@ license: mit
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  # b150_official_train
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- This release contains the high-confidence `b150` training split used by MAGIC-TTS.
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- The public `maimai11/b150_official_test_100` split has been removed from this train release.
 
 
 
 
 
 
 
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  Stats:
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  - Total samples: `201986`
@@ -16,7 +23,7 @@ Files:
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  - `selected_samples.exported.jsonl`: manifest with `sample_id`, `utt_id`, `language`, `audio_path`, `duration`, and `target_text`
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  - `raw_audio_en.tar.part-*`: split English raw audio bundle
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  - `raw_audio_zh.tar.part-*`: split Chinese raw audio bundle
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- - `mfa_sidecars.tar.part-*`: split standalone MFA word-level alignments with relative `audio_path`
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  Notes:
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  - Reconstruct tar files first:
 
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  # b150_official_train
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+ This release contains the high-confidence `b150` training split used by MAGIC-TTS,
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+ with standalone MFA word-level alignments distributed separately from prepared Arrow
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+ artifacts.
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+
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+ Related links:
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+ - GitHub repo: https://github.com/yongaifadian1/MAGIC-TTS
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+ - arXiv paper: https://arxiv.org/abs/2604.21164
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+ - Open-source model: https://huggingface.co/maimai11/MAGIC-TTS
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+ - Online demo: https://yongaifadian1.github.io/MAGIC-TTS/
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  Stats:
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  - Total samples: `201986`
 
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  - `selected_samples.exported.jsonl`: manifest with `sample_id`, `utt_id`, `language`, `audio_path`, `duration`, and `target_text`
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  - `raw_audio_en.tar.part-*`: split English raw audio bundle
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  - `raw_audio_zh.tar.part-*`: split Chinese raw audio bundle
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+ - `mfa_sidecars.tar.part-*`: split standalone MFA word-level alignments with relative `audio_path`, ready to be reused during local dataset preparation
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  Notes:
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  - Reconstruct tar files first: