formospeech/klokah

Stage 3 資料集組裝與分層切分報告 (Train / Eval) 語言總數: 42 候選總筆數: 490,728 筆 重複音訊排除: 20,837 筆 (19.49 小時) | 文字不一致異常: 756 筆 文字外洩排除 (Train purge): 8,036 筆 (4.22 小時) | 達成 Train/Eval 文字 100% 互斥 唯一純淨資料集筆數: 461,855 筆 資料集總時長: 580.18 小時 (2,088,641.6 秒) 切分策略: 依教材類型分層抽樣 (Stratified by extension, Seed=42, 排除評估集教材: *_word) + 文字防外洩過濾 (Zero-Text-Leakage) 訓練集 (Train): 444,611 筆 (553.47 小時, 96.3%) 評估集 (Eval): 17,244 筆 (26.70 小時, 3.7%) 📋 各語言詳細組裝、去重與切分統計 語言代碼 語言名稱 候選筆數 音訊重複 (時長) 文字外洩排除… See the full description on the dataset page: https://huggingface.co/datasets/formospeech/klokah.

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