chinese_food_caption.py

import json

import datasets
from datasets.tasks import QuestionAnsweringExtractive
import re


logger = datasets.logging.get_logger(__name__)


_CITATION = """\
@article{tobedetermined,
       author = {Zihao},
        title = "{Food Images}",
      journal = {Nah},
         year = 2022,
          eid = {arXiv:Nah},
        pages = {arXiv:Nah},
archivePrefix = {arXiv},
       eprint = {Nah},
}
"""

_DESCRIPTION = """\
For finetunning stable diffuser with chinese food images
"""

_URL = "https://huggingface.co/datasets/zmao/chinese_food_caption/resolve/main/chinese_food_caption.tar.gz"


class FoodCaption(datasets.GeneratorBasedBuilder):
    """Chinese_food image and captions Dataset. Version 1.1."""

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "text": datasets.Value("string"),
                    "image": datasets.Image(),
                   
                }
            ),
            # No default supervised_keys (as we have to pass both question
            # and context as input).
            supervised_keys=None,
            homepage="https://huggingface.co/datasets/zmao/food_img_caption",
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        path = dl_manager.download(_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):
        """This function returns the examples in the raw (text) form."""
        idx = 0
        
        #iterate through images:
        for filepath, image in images:
            
            text = filepath[14:-4]
            text = text.replace('-',' ')
            text = re.sub("^\d+\s|\s\d+\s|\s\d+$", " ", text)
            text = text.strip()
            
            yield idx, {
                "image" : {"path": filepath, "bytes":image.read()},
                "text": text
            }
            idx += 1