Datasets:
Languages:
Portuguese
License:
| import csv | |
| import datasets | |
| _PROMPTS_URLS = { | |
| "dev": "data/audios_dev_metadata.csv", | |
| } | |
| _ARCHIVES = { | |
| "dev": "data/dev.tar", | |
| } | |
| _PATH_TO_CLIPS = { | |
| "dev": "dev", | |
| } | |
| class NurcSPDataset(datasets.GeneratorBasedBuilder): | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| features=datasets.Features( | |
| { | |
| "audio_name": datasets.Value("string"), | |
| "file_path": datasets.Value("string"), | |
| "text": datasets.Value("string"), | |
| "start_time": datasets.Value("string"), | |
| "end_time": datasets.Value("string"), | |
| "duration": datasets.Value("string"), | |
| "quality": datasets.Value("string"), | |
| "speech_genre": datasets.Value("string"), | |
| "speech_style": datasets.Value("string"), | |
| "variety": datasets.Value("string"), | |
| "accent": datasets.Value("string"), | |
| "sex": datasets.Value("string"), | |
| "age_range": datasets.Value("string"), | |
| "num_speakers": datasets.Value("string"), | |
| "speaker_id": datasets.Value("string"), | |
| "audio": datasets.Audio(sampling_rate=16_000), | |
| } | |
| ) | |
| ) | |
| def _split_generators(self, dl_manager): | |
| prompts_path = dl_manager.download(_PROMPTS_URLS) | |
| archive = dl_manager.download(_ARCHIVES) | |
| return [ | |
| datasets.SplitGenerator( | |
| name = datasets.Split.VALIDATION, | |
| gen_kwargs = { | |
| "prompts_path": prompts_path["dev"], | |
| "path_to_clips": _PATH_TO_CLIPS["dev"], | |
| "audio_files": dl_manager.iter_archive(archive["dev"]), | |
| } | |
| ), | |
| ] | |
| def _generate_examples(self, prompts_path, path_to_clips, audio_files): | |
| examples = {} | |
| with open(prompts_path, "r") as f: | |
| csv_reader = csv.DictReader(f) | |
| for row in csv_reader: | |
| audio_name = row['audio_name'] | |
| file_path = row['file_path'] | |
| text = row['text'] | |
| start_time = row['start_time'] | |
| end_time = row['end_time'] | |
| duration = row['duration'] | |
| quality = row['quality'] | |
| speech_genre = row['speech_genre'] | |
| speech_style = row['speech_style'] | |
| variety = row['variety'] | |
| accent = row['accent'] | |
| sex = row['sex'] | |
| age_range = row['age_range'] | |
| num_speakers = row['num_speakers'] | |
| speaker_id = row['speaker_id'] | |
| examples[file_path] = { | |
| "audio_name": audio_name, | |
| "file_path": file_path, | |
| "text": text, | |
| "start_time": start_time, | |
| "end_time": end_time, | |
| "duration": duration, | |
| "quality": quality, | |
| "speech_genre": speech_genre, | |
| "speech_style": speech_style, | |
| "variety": variety, | |
| "accent": accent, | |
| "sex": sex, | |
| "age_range": age_range, | |
| "num_speakers": num_speakers, | |
| "speaker_id": speaker_id, | |
| } | |
| inside_clips_dir = False | |
| id_ = 0 | |
| for path, f in audio_files: | |
| if path.startswith(path_to_clips): | |
| inside_clips_dir = True | |
| if path in examples: | |
| audio = {"path": path, "bytes": f.read()} | |
| yield id_, {**examples[path], "audio": audio} | |
| id_ += 1 | |
| elif inside_clips_dir: | |
| break |