WASIL is a released dataset of Arabic spoken interactions with LLMs that includes audio, ASR outputs, responses, user feedback, and answerability labels to isolate ASR effects.
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code- Switching Arabic ASR
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