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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 = "1.0.0"
class Yodas(datasets.GeneratorBasedBuilder):
"""Yodas dataset."""
BUILDER_CONFIGS = [
YodasConfig(lang, version=VERSION) for lang in LANGS
]
VERSION = datasets.Version("1.0.0")
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
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