import os import datasets logger = datasets.logging.get_logger(__name__) 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): logger.info("| > ") logger.info(dl_manager.manual_dir) # logger.info(os.path.join(os.path.dirname(os.path.abspath(__file__)), "datasets")) data_dir = dl_manager.download("datasets") 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}