This dataset is supplementary material to a publication of an online survey investigating emotional eyes of automated vehicles (AVs) for AV-pedestrian interaction. The online survey included a study section on emotion recognition in abstract eye design and a study section on the acceptance of an AV expressing emotions on its avatar head in interaction with pedestrians. In the first study section, participants watched eighteen videos of the eye designs devoid of vehicle context and were tasked with assigning the correct emotions to them using a forced-choice paradigm. For each of Ekman's six basic emotions (Anger, Disgust, Fear, Happiness, Sadness, Surprise), specifications for the design dimensions shape, color and motion were used to create three eye designs building on each other: design 1: shape; design 2: shape and color; design 3: shape, color and motion. The second study section comprised the description of six short user scenarios with interactions between an anthropomorphic AV (EDAG CityBot) and a pedestrian in road traffic, each accompanied by a video created in a virtual reality environment showing the AV expressing the situation-specific emotion using eye design 3 on its avatar head. The eighteen videos (Eye_Design_1/2/3_Anger.mp4, Eye_Design_1/2/3_Disgust.mp4, Eye_Design_1/2/3_Fear.mp4, Eye_Design_1/2/3_Happiness.mp4, Eye_Design_1/2/3_Sadness.mp4, Eye_Design_1/2/3_Surprise.mp4) from the first study section on emotion recognition and the six videos (AV_Eye_Design_3_Anger.mp4, AV_Eye_Design_3_Disgust.mp4, AV_Eye_Design_3_Fear.mp4, AV_Eye_Design_3_Happiness.mp4, AV_Eye_Design_3_Sadness.mp4, AV_Eye_Design_3_Surprise.mp4) as well as six scenario descriptions (Scenario_Descriptions.pdf) from the second study section on emotion acceptance can be viewed here.