Multi30k-uk.py

import json

import datasets


logger = datasets.logging.get_logger(__name__)


_DESCRIPTION = """\
Ukrainian Multi30k
"""

_CITATION = """\

"""

_URLS = {
    "train" : "train.json",
    "flickr_2016" : "test_2016_flickr.json",
    "flickr_2017" : "test_2017_flickr.json",
    "flickr_2018" : "test_2018_flickr.json",
    "mscoco_2017" : "test_2017_mscoco.json"
}


class UkrainianMulti30k(datasets.GeneratorBasedBuilder):
    """Ukrainian Multi30k Dataset"""
    VERSION = datasets.Version("0.0.1")
    DEFAULT_CONFIG_NAME = "multi30k"
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="multi30k", version=VERSION, description=""),
        datasets.BuilderConfig(name="flickr_2016", version=VERSION, description=""),
        datasets.BuilderConfig(name="flickr_2017", version=VERSION, description=""),
        datasets.BuilderConfig(name="flickr_2018", version=VERSION, description=""),
        datasets.BuilderConfig(name="mscoco_2017", version=VERSION, description=""),
    ]

    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "en": datasets.Value("string"),
                    "uk": datasets.Value("string")
                }
            ),
            citation=_CITATION,
        )
        

    def _split_generators(self, dl_manager):
        downloaded_files = dl_manager.download(_URLS)
        if self.config.name == "multi30k":
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["train"]})
            ]
        elif self.config.name == "flickr_2016":
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["flickr_2016"]})
            ]
        elif self.config.name == "flickr_2017":
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["flickr_2017"]})
            ]
        elif self.config.name == "flickr_2018":
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["flickr_2018"]})
            ]
        elif self.config.name == "mscoco_2017":
            return [
                datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files["mscoco_2017"]})
            ]

    def _generate_examples(self, filepaths):
        
        with open(filepaths, encoding="utf-8") as f:
            for num, rows_str in enumerate(f):
                rows = json.loads(rows_str)
                yield num, rows