The dataset combines HumanAct12 and AMASS sources, covering daily activities, sports, acrobatics, and artistry. Each motion clip is downsampled to 20 fps (2-10 seconds), annotated by human raters on Amazon Mechanical Turk, and doubled via mirroring augmentation with keyword replacement. It serves as training data for deep learning models that translate text descriptions into corresponding 3D human motion sequences.