WASIL: In-the-Wild Arabic Spoken Interactions with LLMs

In three linesWASIL is a dataset of real-world Arabic voice interactions with LLMs: 8,529 turns with audio, ASR hypotheses, assistant responses, and like/dislike feedback (14.2% dislikes). Includes 2,000 test turns covering Modern Standard Arabic and 4 major dialects. Answerability annotations separate ASR errors from intrinsic limitations.

Summary generated by Claude — human-verified