import json

import datasets


datasets.Features(
    {
        "img_id": datasets.Image("path"),
        "anno_polygons": datasets.Sequence(
            {
                [
                    {'category_id': datasets.Value("int32"),
                     'segmentation': datasets.Sequence(feature=list, ), 
                     'area': datasets.Value("int64"), 
                     'bbox': datasets.Sequence('list'), 
                     'width': datasets.Value('int32'), 
                     'height': datasets.Value('int32')
                     },
                ]
            }
        ),
        "anno_texts": datasets.Value("string"),
        "anno_labels": datasets.Value("string"),
        "anno_num": datasets.Value("int32"),
        "anno_image_quality": datasets.Value("float64")
    }
)


_URL = ""
def _split_generators(self, dl_manager):

    return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": ".\mcocr_public_train_test_shared_data\mcocr_train_data"}),
            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": ".\mcocr_public_train_test_shared_data\mcocr_val_data"}),
        ]