kabyle_hca.py

import datasets
class KabyleUmmto(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "id": datasets.Value("string"),
                "text": datasets.Value("string"),
                "folder": datasets.Value("string"),
                "line_no": datasets.Value("int32"),
            }))
    def _split_generators(self, dl_manager):
        return [
            datasets.SplitGenerator(name=split, gen_kwargs={"split": split})
            for split in ("train", "validation", "test")
        ]
    def _generate_examples(self, split):
        import pyarrow.parquet as pq
        tbl = pq.read_table(f"{split}.parquet")
        for row in tbl.to_pandas().itertuples(index=False):
            yield row.id, row._asdict()