Datasets:

Tnaot
/

whisper-large-training

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Khmer Speech Dataset for Whisper Large V3

Combined Khmer speech datasets for fine-tuning Whisper models.

Statistics

Total: 52,255 samples (~47.3 hours)
Train: 49,119 (94.0%)
Test: 3,136 (6.0%)
Duration: 1.0s - 13.3s (avg: 3.3s)

Sources

seanghay/khmer_mpwt_speech (×5)

Samples: 10,290 (duplicated 5x from 2,058)
Duration: ~9.6 hours

seanghay/km-speech-corpus

Samples: 14,943
Duration: ~10.3 hours

google/fleurs

Samples: 1,675
Duration: ~7.3 hours

S-Sethisak/khmer-speech-dataset

Samples: 22,441
Duration: ~28.7 hours

openslr-42

Samples: 2,906
Duration: ~5.9 hours

Format

audio: Audio with original sampling rate
text: Khmer transcription

Processing

Standardized to audio+text columns
khmer_mpwt_speech duplicated 5×
Shuffled (seed=42) and split 94%/6%

License

This dataset combines data from multiple sources with different licenses. Please refer to each original source for specific license terms.