Tnaot/whisper-large-training
收藏Hugging Face2025-10-23 更新2025-10-25 收录
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https://hf-mirror.com/datasets/Tnaot/whisper-large-training
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资源简介:
这是一个用于微调Whisper模型的柬埔寨语语音数据集,包含52,255个样本,总时长约为47.3小时。数据集分为训练集和测试集,比例为94%和6%。数据来源于多个不同的数据集,包括seanghay/khmer_mpwt_speech、seanghay/km-speech-corpus、google/fleurs、S-Sethisak/khmer-speech-dataset和openslr-42。数据集格式为音频和对应的柬埔寨语文本转录。
This is a Khmer speech dataset for fine-tuning Whisper models, containing 52,255 samples with a total duration of approximately 47.3 hours. The dataset is split into training and test sets with a ratio of 94% and 6% respectively. The data sources include seanghay/khmer_mpwt_speech, seanghay/km-speech-corpus, google/fleurs, S-Sethisak/khmer-speech-dataset, and openslr-42. The dataset format consists of audio and corresponding Khmer text transcriptions.
提供机构:
Tnaot



