import datasets
import json

_CITATION = """
"""

_DESCRIPTION = """
"""

_HOMEPAGE = ""

_LICENSE = ""

_URLS = {
    
    "test": "https://raw.githubusercontent.com/wicsaax/m3exam/main/afrikaans-questions-test.json",
}

_NEED_KEY = ["question_text","background_description","answer_text","options","language"]

class afrikaans(datasets.GeneratorBasedBuilder):

    VERSION = datasets.Version("0.0.1")

    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="m3exam-afrikaans", version=VERSION, description="The m3exam-afrikaans dataset."
        ),
    ]

    def _info(self):
        features = datasets.Features(
            {
                "answer_text": datasets.Value("string"),
                "question_text": datasets.Value("string"),
                "background_description": datasets.features.Sequence(datasets.Value("string")),
                "options": datasets.features.Sequence(datasets.Value("string")),
                "language": datasets.Value("string"),
            }
        )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        urls = {
            "test": _URLS["test"],
        }
        data_dir = dl_manager.download_and_extract(urls)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                # These kwargs will be passed to _generate_examples
                gen_kwargs={"filepath": data_dir["test"], "split": "test"},
            )
        ]

    def norm(self,dict):
        new_dic = {}
        for k,v in dict.items():
            if k not in _NEED_KEY:
                continue
            new_dic[k] = v
        return new_dic

    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
    def _generate_examples(self, filepath, split):
        
        with open(filepath, 'r', encoding="utf-8") as f:
            print(filepath)
            data = json.loads(f.read())
            for idx, single_data in enumerate(data):
                yield f"{idx}", self.norm(single_data)