upload.py

import csv
import os
import datasets

_DESCRIPTION = "Dataset suara Bahasa Indonesia buatan sendiri."
_HOMEPAGE = "https://huggingface.co/datasets/plsmkse/dataset_indo_aprik"
_LICENSE = "MIT"

class MySpeechDataset(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features({
                "path": datasets.Audio(sampling_rate=16000),
                "sentence": datasets.Value("string"),
            }),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            license=_LICENSE,
        )

    def _split_generators(self, dl_manager):
        audio_dir = os.path.join(dl_manager.manual_dir, "dataset_indo")
        metadata_path = os.path.join(dl_manager.manual_dir, "metadata_indo_baru.tsv")
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={"metadata_path": metadata_path, "audio_dir": audio_dir},
            )
        ]

    def _generate_examples(self, metadata_path, audio_dir):
        with open(metadata_path, encoding="utf-8") as f:
            reader = csv.DictReader(f, delimiter="|")
            for idx, row in enumerate(reader):
                audio_path = os.path.join(audio_dir, os.path.basename(row["path"]))
                yield idx, {
                    "path": audio_path,
                    "sentence": row["sentence"],
                }