import os
import datasets

_DESCRIPTION = """\
UTS_WTK_v1
"""

_CITATION = """\
"""

_BASE_URL = "https://huggingface.co/datasets/undertheseanlp/UTS_WTK_v1/raw/main/data/"
TRAIN_FILE = "train.txt"


class UTS_WTK_v1(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "tokens": datasets.Value("string"),
                    "tags": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage=None,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        """Returns SplitGenerators."""
        train_file = dl_manager.download(os.path.join(_BASE_URL, TRAIN_FILE))
        # dev_file = dl_manager.download(os.path.join(DATA_PATH, "dev.txt"))
        # test_file = dl_manager.download(os.path.join(DATA_PATH, "test.txt"))
        data_files = {
            "train": train_file,
            # "dev": dev_file,
            # "test": test_file,
        }
        splits = [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_files["train"]}
            ),
            # datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_files["dev"]}),
            # datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_files["test"]}),
        ]
        return splits

    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as f:
            guid = 0
            for line in f:
                text = line.strip()
                yield guid, {"text": text}
                guid += 1