ParsiGoo.py

import os
import datasets

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

    def _info(self):
        features = datasets.Features(
            {
                "text": datasets.Value("string"),
                "audio_file": datasets.Value("string"),
                "speaker_name": datasets.Value("string"),
                "root_path": datasets.Value("string")
            }
        )
        return datasets.DatasetInfo(
            description="ParsiGoo dataset",
            features=features,
            homepage="https://example.com",
            citation="",
        )

    def _split_generators(self, dl_manager):
        data_dir = "datasets"#dl_manager.download_and_extract("https://example.com/datasets/parsigoo.zip")
        splits = []
        for speaker_name in os.listdir(data_dir):
            if not os.path.isdir(os.path.join(data_dir, speaker_name)):
                continue
            root_path = os.path.join(data_dir, speaker_name)
            meta_file = os.path.join(root_path, "metadata.csv")
            splits.append(
                datasets.SplitGenerator(
                    name=speaker_name,
                    gen_kwargs={
                        "txt_file": meta_file,
                        "speaker_name": speaker_name,
                        "root_path": root_path
                    }
                )
            )
        return splits

    def _generate_examples(self, txt_file, speaker_name, root_path):
        with open(txt_file, "r", encoding="utf-8") as ttf:
            for i, line in enumerate(ttf):
                cols = line.split("|")
                wav_file = cols[1].strip()
                text = cols[0].strip()
                wav_file = os.path.join(root_path, "wavs", wav_file)
                yield i, {"text": text, "audio_file": wav_file, "speaker_name": speaker_name, "root_path": root_path}