import os from collections import OrderedDict from pathlib import Path import datasets import os from .meta import lang2shard_cnt class YodasConfig(datasets.BuilderConfig): """BuilderConfig for Yodas.""" def __init__(self, lang, version, **kwargs): self.language = lang self.base_data_path = f"data/{lang}" description = ( f"Youtube speech to text dataset in {self.language}." ) super(YodasConfig, self).__init__( name=lang, version=datasets.Version(version), description=description, **kwargs, ) DEFAULT_CONFIG_NAME = "all" LANGS = list(lang2shard_cnt.keys()) VERSION = "1.0.1" class Yodas(datasets.GeneratorBasedBuilder): """Yodas dataset.""" BUILDER_CONFIGS = [ YodasConfig(lang, version=VERSION) for lang in LANGS ] VERSION = datasets.Version("1.0.1") def _info(self): return datasets.DatasetInfo( description="Yodas", features=datasets.Features( OrderedDict( [ ("id", datasets.Value("string")), ("utt_id", datasets.Value("string")), ("audio", datasets.Audio(sampling_rate=16_000)), ("text", datasets.Value("string")), ] ) ), supervised_keys=None, homepage="", # TODO citation="", # TODO ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" # TODO total_cnt = lang2shard_cnt[self.config.name] idx_lst = [f"{i:08d}" for i in range(total_cnt)] audio_tar_files = dl_manager.download([f"{self.config.base_data_path}/audio/{i:08d}.tar.gz" for i in range(total_cnt)]) text_files = dl_manager.download([f"{self.config.base_data_path}/text/{i:08d}.txt" for i in range(total_cnt)]) #duration_files = dl_manager.download([f"{self.config.base_data_path}/duration/{i:08d}.txt" for i in range(total_cnt)]) if dl_manager.is_streaming: audio_archives = [dl_manager.iter_archive(audio_tar_file) for audio_tar_file in audio_tar_files] text_archives = [dl_manager.extract(text_file) for text_file in text_files] else: print("extracting audio ...") extracted_audio_archives = dl_manager.extract(audio_tar_files) audio_archives = [] text_archives = [] for idx, audio_tar_file, extracted_dir, text_file in zip(idx_lst, audio_tar_files, extracted_audio_archives, text_files): audio_archives.append(str(extracted_dir)+'/'+idx) text_archives.append(text_file) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "is_streaming": dl_manager.is_streaming, "audio_archives": audio_archives, 'text_archives': text_archives, }, ), ] def _generate_examples(self, is_streaming, audio_archives, text_archives): """Yields examples.""" id_ = 0 if is_streaming: for tar_file, text_file in zip(audio_archives, text_archives): utt2text = {} with open(text_file) as f: for id_, row in enumerate(f): row = row.strip().split(maxsplit=1) utt2text[row[0]] = row[1] for path, audio_f in tar_file: path = Path(path) utt_id = path.stem if utt_id in utt2text: result = { 'id': id_, 'utt_id': utt_id, 'audio': {"path": None, "bytes": audio_f.read()}, 'text': utt2text[utt_id] } yield id_, result id_ += 1 else: for extracted_dir, text_file in zip(audio_archives, text_archives): utt2text = {} extract_root_dir = Path(extracted_dir).parent extracted_dir = list(extract_root_dir.glob('./*'))[0] with open(text_file) as f: for _, row in enumerate(f): row = row.strip().split(maxsplit=1) utt2text[row[0]] = row[1] for audio_file in list(Path(extracted_dir).glob('*')): utt_id = audio_file.stem if utt_id in utt2text: result = { 'id': id_, 'utt_id': utt_id, 'audio': {"path": str(audio_file.absolute()), "bytes": open(audio_file, 'rb').read()}, 'text': utt2text[utt_id] } yield id_, result id_ += 1