CRVD stands for Captured Raw Video Denoising, which is a dynamic video dataset. The dataset contains 55 groups of noisy and clean videos with ISO values ranging from 1,600 to 25,600. By studying the temporal, spatial, and channel correlations of video frames, a raw video denoising network (RViDeNet) was established. The original video is packaged into four subsequences, namely RGBG sequences, which are denoised separately by RViDeNet and finally fused into a clean video. This dataset not only outputs the original denoising results, but also outputs the sRGB results through the image signal processing (ISP) module. This video denoising method outperforms the most advanced video and image denoising algorithms.