| import os |
| import datasets |
| logger = datasets.logging.get_logger(__name__) |
| datasets.logging.set_verbosity(20) |
|
|
|
|
| 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) |
| |
| data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/Kamtera/ParsiGoo/main/datasets.zip") |
| |
| data_dir = os.path.join(data_dir, "datasets") |
| print("| > data_dir =",data_dir) |
| meta_files = [] |
| speaker_names = os.listdir(data_dir) |
| root_path = "" |
| print("| > listdir =",os.listdir(data_dir)) |
| for speaker_name in os.listdir(data_dir): |
| |
| |
| 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} |
|
|
| |
