Requesting A Structured Folder Structure For Dark Face Dataset.

I was looking at the Dark Face dataset available on https://flyywh.github.io/CVPRW2019LowLight/ .
About the dataset according to the description of the dataset:
DARK FACE dataset provides 6,000 real-world low light images captured during the nighttime, at teaching buildings, streets, bridges, overpasses, parks etc., all labeled with bounding boxes for of human face, as the main training and/or validation sets. We also provide 9,000 unlabeled low-light images collected from the same setting. Additionally, we provided a unique set of 789 paired low-light/normal-light images captured in controllable real lighting conditions (but unnecessarily containing faces), which can be used as parts of the training data at the participants’ discretization. There will be a hold-out testing set of 4,000 low-light images, with human face bounding boxes annotated.
When I downloaded the dataset, I was hoping for the folders to be structured something like:
Dark Face Dataset
├── Low-light
│ ├── Training
│ │ ├── Positive
│ │ └── Negative
│ └── Validation
│ ├── Positive
│ └── Negative
├── Paired Low-light and Normal-light
│ ├── Training
│ └── Validation
└── Testing
└── Low-light

Instead, all I got was:
images: containing 6000 images
labels: containing 6000 text files containg information about images. But nowhere is the mention of training,validation, no low-light and normal-light images.

Now I may be missing something very obvious, but I have searched online quite a bit but I can’t figure out how to get the complete dataset. They said it was part of competion ‘UG 2+ challenge’. website: http://cvpr2023.ug2challenge.org/

Can someone please help me with link(s) to where I can access the dataset which is properly structure.