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Why creating this dataset?
We present a high-quality Hebrew speech transcription dataset generated using the Whisper Turbo model.
In contrast, HebDB (https://pages.cs.huji.ac.il/adiyoss-lab/HebDB/) relies on Whisper Large, which is demonstrably inferior to Whisper Turbo in transcription accuracy and robustness.
Furthermore, HebDB distributes audio files with Hebrew filenames, an avoidable design choice that introduces unnecessary friction into modern training pipelines and preprocessing workflows.
Our dataset is deliberately engineered for research and large-scale training, requiring no additional normalization or restructuring, and is immediately usable for training a wide range of speech and language models.
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