import json
import os
import datasets

logger = datasets.logging.get_logger(__name__)

_CITATION = """
citation text
"""

_DESCRIPTION = """\
Demo...
"""

description = ['1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20']

_URL = "https://huggingface.co/datasets/kamalgodar/donut-test/resolve/main/images.tar.gz"

class DonutTest(datasets.GeneratorBasedBuilder):
  def _info(self):
    return datasets.DatasetInfo(
        description=_DESCRIPTION,
        features=datasets.Features(
            {
                "json": datasets.Value("string"),
                "image": datasets.Image(),
            }
        ),
        supervised_keys=None,
        homepage="https://huggingface.co/datasets/kamalgodar/donut-test",
        citation=_CITATION,
    )

  def _split_generators(self, dl_manager):
    path = dl_manager.download_and_extract(_URL)
    image_iters = dl_manager.iter_archive(path)

    return [
        datasets.SplitGenerator(
            name=datasets.Split.TRAIN,
            gen_kwargs={
                "images": image_iters
            }
        ),
    ]

  def _generate_examples(self, images):
    idx = 0

    for filepath, image in images:
        yield idx, {
            "json": description[idx],
            "image": {"path": filepath, "bytes": image.read()},
        }
        idx += 1