OMG-Emotion Dataset

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.

《一分钟渐进情绪行为数据集》（OMG-Emotion）由时长约为一分钟的视频组成，这些视频源自YouTube，并经过标注，以考虑持续的情绪行为。视频的选择采用了基于长期情绪行为特定关键词的爬虫技术，如“独白”、“试镜”、“对话”以及“情感场景”等。该数据集包含567个情绪视频，平均时长为一分钟，视频来源多样，来自多个YouTube频道。视频根据语音被分割成剪辑，每个剪辑均由至少五位独立受试者使用Amazon Mechanical Turk工具进行标注。