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We introduce QuerYD, a new large-scale dataset for retrieval and eventlocalisation in video. A unique feature of our dataset is the availability oftwo audio tracks for each video: the original audio, and a high-quality spokendescription of the visual content. The dataset is based on YouDescribe, avolunteer project that assists visually-impaired people by attaching voicednarrations to existing YouTube videos. This ever-growing collection of videoscontains highly detailed, temporally aligned audio and text annotations. Thecontent descriptions are more relevant than dialogue, and more detailed thanprevious description attempts, which can be observed to contain manysuperficial or uninformative descriptions. To demonstrate the utility of theQuerYD dataset, we show that it can be used to train and benchmark strongmodels for retrieval and event localisation. Data, code and models are madepublicly available, and we hope that QuerYD inspires further research on videounderstanding with written and spoken natural language.

QuerYD: A video dataset with high-quality text and audio narrations