import json
import datasets

class ClipCc(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")

    def _info(self):
        return datasets.DatasetInfo(
            description="A dataset of 200 video summaries with corresponding YouTube links and IDs.",
            features=datasets.Features(
                {
                    "id": datasets.Value("string"),
                    "file_link": datasets.Value("string"),
                    "summary": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage="https://huggingface.co/datasets/IVSL-SDSU/Clip-CC",
            license="apache-2.0"
        )

    def _split_generators(self, dl_manager):
        data_path = dl_manager.download_and_extract("metadata.jsonl")
        return [
            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_path})
        ]

    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as f:
            for idx, line in enumerate(f):
                item = json.loads(line)
                yield idx, {
                    "id": item.get("id", ""),
                    "file_link": item.get("file_link", ""),
                    "summary": item.get("summary", ""),
                }