| 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 |
