This document contains supplementary material which outlines key aspects regarding the dataset creation process, along with the methodology employed for benchmarking state-of-the-art deep leaning models. We aim to provide a clear and comprehensive overview, thus dividing the topic into six fundamental points. Beginning with point one, we delve into the method of data collection and organization, elucidating how the data can be interpreted and utilized. This section is crucial for understanding the origin and nature of the data comprising our dataset. Moving on to point two, we address the theme of dataset maintenance over time. It is important to ensure that data remains accessible and usable even years after its creation. In the third point, we provide details regarding the dataset's license. This includes crucial information regarding usage rights and restrictions, which must be adhered to by anyone utilizing our dataset. We have also included all the URLs related to the dataset itself and the codes used to conduct model benchmarks (as well as the dataset's DOI). These resources are essential for accessing the data and replicating experiments, ensuring the transparency and reproducibility of our analyses. In the fifth point, we address author statements regarding rights violation and confirmation of data licensing. This ensures that intellectual property rights are respected and that dataset usage complies with relevant regulations.