Load_dataset with labels

I have a datest for semantic segmentation with the following structure:

β”œβ”€β”€ image
β”‚ β”œβ”€β”€ *.jpg
β”œβ”€β”€ annotation
β”‚ β”œβ”€β”€ *.png

And using the load_dataset with the imagefolder as here:

dataset = load_dataset("imagefolder", data_dir=os.path.join(path,'repositories/data/dataset/'), split='train')

it does the following:

{'image': <PIL.PngImagePlugin.PngImageFile image mode=I;16 size=1098x566>,
 'label': 0}    # it can't detect the PNG files but the jpg files it does

I tried changing the names of the folders to label, labels, and annotation but it didn’t work. On how to do the splits it is clear in the documentation, but this division with labels I didn’t understand.
I solved the problem by doing it this way, looking for it in these forums:

import datasets
import glob

IMAGES = glob.glob(os.path.join(path,'repositories/data/dataset/image/*.jpg'))
SEG_MAPS = glob.glob(os.path.join(path,'repositories/data/dataset/annotation/*.png'))

dataset = datasets.Dataset.from_dict({"image": IMAGES, "annotation": SEG_MAPS},
                                         {"image": datasets.Image(),
                                          "annotation": datasets.Image()})

My question is: where did I made a mistake or I missed a documentation ? I would like to just give just the image folder and the data_dir