import argparse

from datasets import load_dataset

from project_settings import project_path


def get_args():
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--dataset_path",
        default="nx_noise.py",
        # default="E:/Users/tianx/HuggingDatasets/nx_noise/nx_noise.py",
        type=str
    )
    parser.add_argument("--dataset_name", default="en-PH_2025-01-14.zip", type=str)
    parser.add_argument(
        "--dataset_cache_dir",
        default=(project_path / "hub_datasets").as_posix(),
        type=str
    )
    args = parser.parse_args()
    return args


def main():
    args = get_args()

    dataset = load_dataset(
        path=args.dataset_path,
        name=args.dataset_name,
        cache_dir=args.dataset_cache_dir,
        streaming=True,
        trust_remote_code=True,
    )
    for sample in dataset["train"]:
        print(sample)
        print("-" * 150)

    return


if __name__ == "__main__":
    main()