QCRI/WASIL

WASIL Dataset WASIL is a dataset of in-the-wild Arabic spoken interactions with an LLM-based assistant. The dataset contains ∼9K turns (9,304 turns from 93 users), spans multiple dialects and countries, and includes explicit user feedback on assistant responses, including like or dislike signals and scalar scores. Dataset Overview WASIL contains 9,304 spoken Arabic prompts from 93 users interacting with an ASR → LLM assistant. Each interaction includes a like/dislike… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/WASIL.

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