Generating per-frame ground- truth HDR for dynamic videos is very challenging. Following the strategy used for capturing dynamic HDR image [Deep high dynamic range imaging of dynamic scenes, TOG 2017], we propose to create image pairs consisting of input LDR frames and the HDR of the center frame. We considered static environment and used a human subject to simulate motion in videos. For each scene, we first asked the subject to stay still for 1 − 2 seconds, where we can find 2 consecutive still frames (or 3 frames for three-exposure) without motions for generating the HDR image for this timestamp. We then asked the subject to move back-and-forth (e.g., waving hands or walking). We selected an image sequence whose center frame was the static frame, and arranged this sequence to be the proper LDRs-HDR pairs. For each reference frame with GT HDR, we also created a pair with a larger motion by sampling the neighboring frames in a frame interval of 2, which doubles the number of pairs. In total, we created 76 and 108 pairs for the case of two-exposure (5 input frames) and three-exposure (7 input frames), respectively.