The diversity of scenes in the GTA-HDR dataset plays a crucial role in enhancing the performance of HDR image reconstruction methods. By including a wide variety of scenes such as indoor, outdoor, in-the-wild environments, different locations, weather conditions, lighting conditions, and times of day, the dataset provides a rich and comprehensive set of images for training. This diversity ensures that the models trained on GTA-HDR are exposed to a wide range of visual characteristics, color variations, brightness levels, and scene complexities. As a result, the models trained on GTA-HDR are better equipped to handle the challenges posed by real-world HDR image reconstruction tasks. The diverse scenes in GTA-HDR help the models generalize well to different types of scenes and lighting conditions, leading to improved performance in reconstructing visually accurate HDR images.