dataset.py

import csv
import datasets

class ElaboratedMetadataConfig(datasets.BuilderConfig):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

class ElaboratedMetadata(datasets.GeneratorBasedBuilder):
    BUILDER_CONFIGS = [
        ElaboratedMetadataConfig(name="default", version=datasets.Version("1.0.0"))
    ]

    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "owner": datasets.Value("string"),
                "repo_name": datasets.Value("string"),
                "file_path": datasets.Value("string"),
                "url": datasets.Value("string"),
            }),
        )

    def _split_generators(self, dl_manager):
        data_path = dl_manager.download("A_python_files_elaborated_metadata.csv")
        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:
            reader = csv.DictReader(f)
            for idx, row in enumerate(reader):
                yield idx, {
                    "owner": row["owner"],
                    "repo_name": row["repo_name"],
                    "file_path": row["file_path"],
                    "url": row["url"],
                }