Makes sense so the steps for developing your own dataset are defined here: https://kedro.readthedocs.io/en/stable/07_extend_kedro/03_custom_datasets.html To start from scratch you need to inherit from

AbstractDataSet

and implement the

__init__()

,

load()

and

save()

methods. Looking at this example from pycocotools I think it is super easy for you to just need to import

from pycocotools.coco import COCO

and do

COCO(your_path)

within the

load()

method and you're good to go. https://github.com/cocodataset/cocoapi/blob/master/PythonAPI/pycocoDemo.ipynb The only thing worth noting is that this will only work for local files - if you want the dataset to accept either local or cloud files (s3 etc) you may want to extend / steal the basic implementation from any of the existing Kedro datasets