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license: mit
viewer: false
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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.