The One-Minute Gradual-Emotional Behavior dataset (OMG-Emotion) dataset is composed of Youtube videos which are around a minute in length and are annotated taking into consideration a continuous emotional behavior. The videos were selected using a crawler technique that uses specific keywords based on long-term emotional behaviors such as "monologues", "auditions", "dialogues" and "emotional scenes".

It contains 567 emotion videos with an average length of 1 minute, collected from a variety of Youtube channels. The videos were separated into clips based on utterances, and each utterance was annotated by at least five independent subjects using the Amazon Mechanical Turk tool.