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@@ -26,7 +26,7 @@ This model is a fine-tuned version of [Whisper Larg v3](https://github.com/opena
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  ## Training Data
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- The dataset used for training and fine-tuning this model consists of approximately 2,200 hours of transcribed audio, primarily featuring Israeli Levantine Arabic, along with some general Levantine Arabic content. The data sources include:
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  1. **Self-maintained Collection**: 1,200 hours of audio data curated by the team, covering a wide range of Israeli Levantine Arabic speech.
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  ## Training Data
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+ The dataset used for training and fine-tuning this model consists of approximately 1,200 hours of transcribed audio, primarily featuring Israeli Levantine Arabic, along with some general Levantine Arabic content. The data sources include:
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  1. **Self-maintained Collection**: 1,200 hours of audio data curated by the team, covering a wide range of Israeli Levantine Arabic speech.
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