Product Features: This dataset has collected 100,000 dance videos, each averaging 30 seconds in length, at 4K resolution, including adults and teenagers with a foundation in dance, with a balanced gender ratio. It includes both solo and group dances, with high richness in videos from various angles such as front, side, back, and turning. Dance types include folk dance, jazz, street dance, and more.
Application Fields: This dataset can be applied to virtual humans, VR, dance education, video production, and other fields, promoting the application and development of multimodal technology in the corresponding areas.
The corpus uses high-definition cameras to capture lip speech video data from approximately 208 individuals. The capture scenario is an indoor quiet environment, simulating various types of lighting, including normal light, strong light, backlight, and weak light. The shooting distance includes 0.5m and 1m, with a primary focus on 0.5m, accounting for about 90% of the recordings. The shooting angle is frontal, with the imaging size focusing mainly on the upper body. In addition to solo collections, the collection also simulates queue scenarios, with about 30% of each person's video data being collected in multi-person scenarios, where the number of people appearing in the multi-person scenes is mostly two. The collectors primarily speak Mandarin (prioritizing northern pronunciation individuals, with some collectors having better southern Mandarin pronunciation), some collectors may have a slight local accent, speaking at a normal pace, recording 10 sentences per person, with an average of 10 to 15 characters per sentence. The collectors' ages range from 7 to over 60 years old, mainly children and middle-aged and young people, with a balanced gender ratio. While the video is being recorded, there is also a front-facing interface microphone recording synchronized with the collector, and the other audio file comes from the collected video.
