import os
import json
import datasets


# TODO: Add description of the dataset here
# You can copy an official description
_DESCRIPTION = """20Q"""

# TODO: Add a link to an official homepage for the dataset here
_HOMEPAGE = ""

# TODO: Add the licence for the dataset here if you can find it
_LICENSE = ""



class NewDataset(datasets.GeneratorBasedBuilder):
    """TODO: Short description of my dataset."""

    VERSION = datasets.Version("1.0.0")

    def _info(self):
        features = datasets.Features(
            {
                "subject": datasets.Value("string"),
                "question": datasets.Value("string"),
                "label": datasets.Value("bool"),
                "label_fine_grained": datasets.Value("string")
            }
        )

        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features,
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation="_CITATION",
        )

    def _split_generators(self, dl_manager):
        data_dir = dl_manager.download_and_extract(["data/train.jsonl", "data/test.jsonl"])
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": data_dir[0],
                    "split": "train",
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": data_dir[1],
                    "split": "test"
                },
            ),
        ]

    def _generate_examples(self, filepath, split):
        with open(filepath, encoding="utf-8") as f:
            for key, row in enumerate(f):
                data = json.loads(row)
                yield key, {
                    "subject": data["subject"],
                    "question": data["question"],
                    "label": data["label"],
                    "label_fine_grained": data["label_fine_grained"]
                }