We present labelled pupils in the wild (LPW), a novel dataset of 66 high-quality, high-speed eye region videos for the development and evaluation of pupil detection algorithms. The videos in our dataset were recorded from 22 participants in everyday locations at about 95 FPS using a state-of-the-art dark-pupil head-mounted eye tracker. They cover people with different ethnicities, a diverse set of everyday indoor and outdoor illumination environments, as well as natural gaze direction distributions. The dataset also includes participants wearing glasses, contact lenses, as well as make-up. Each video in the dataset consists of about 2,000 frames with a resolution of 640x480 pixels and was recorded at about 95 FPS, resulting in a total of 130,856 video frames. All videos were manually ground-truth annotated with accurate pupil ellipse and centre positions.