dataset.py

import datasets

class MyAudioDataset(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                "audio": datasets.Audio(sampling_rate=44100),
                "text": datasets.Value("string"),
            }),
        )

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

    def _generate_examples(self, filepath):
        import csv
        with open(filepath, encoding="utf-8") as f:
            reader = csv.DictReader(f)
            for idx, row in enumerate(reader):
                yield idx, {
                    "audio": row["audio"],
                    "text": row["text"],
                }