The OMG-Empathy corpus is composed of recordings of two individuals talking to each other about a certain topic. One of the individuals is an actor who leads a semi-scripted conversation with a listener. The actors tells stories about what happened to them recently, and we recorded the reactions of the listener to these stories over time, which can contain short interactions.

This dataset is composed of Youtube videos which are about 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".