File size: 2,626 Bytes
27102cb fbab1c4 12ff40f dea6f80 27102cb fbab1c4 dea6f80 ab0f7f1 fbab1c4 f61a984 ab0f7f1 2034205 004b0af dea6f80 004b0af 05205c2 12ff40f 27102cb dea6f80 27102cb dea6f80 27102cb dea6f80 27102cb dea6f80 12ff40f dea6f80 27102cb dea6f80 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
import os
import datasets
logger = datasets.logging.get_logger(__name__)
datasets.logging.set_verbosity(20)
_speaker_names = [
'ariana_Male2',
'moujeze_Female1',
'ariana_Male1',
'ariana_Female1'
]
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("| > ")
print("4544444")
print(dl_manager.manual_dir)
# logger.info(os.path.join(os.path.dirname(os.path.abspath(__file__)), "datasets"))
data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/Kamtera/ParsiGoo/resolve/main/datasets.zip")
# data_dir="datasets"
data_dir = os.path.join(data_dir, "datasets")
print("| > data_dir =",data_dir)
meta_files = []
speaker_names = _speaker_names
root_path = ""
print("| > listdir =",os.listdir(data_dir))
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_files.append(os.path.join(root_path, "metadata.csv"))
return [datasets.SplitGenerator(
name="train",
gen_kwargs={
"txt_files": meta_files,
"speaker_names": speaker_names,
"root_path": root_path
}
)]
def _generate_examples(self, txt_files, speaker_names, root_path):
print(txt_files)
id=-1
for ind,txt_file in enumerate(txt_files):
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)
id+=1
yield id, {"text": text, "audio_file": wav_file, "speaker_name": speaker_names[ind], "root_path": root_path}
|