Datasets:
Tasks:
Automatic Speech Recognition
Multilinguality:
multilingual
Language Creators:
crowdsourced
Annotations Creators:
crowdsourced
Source Datasets:
extended|common_voice
ArXiv:
Tags:
License:
| from pathlib import Path | |
| import json | |
| splits = ["train", "dev", "test", "other", "invalidated"] | |
| if __name__ == "__main__": | |
| n_files = {} | |
| lang_dirs = [d for d in Path("audio").iterdir() if d.is_dir()] | |
| for lang_dir in lang_dirs: | |
| lang = lang_dir.name | |
| n_files[lang] = {} | |
| for split in splits: | |
| split_dir = lang_dir / split | |
| if split_dir.exists(): | |
| n_files_per_split = len(list(split_dir.glob("*.tar"))) | |
| else: | |
| n_files_per_split = 0 | |
| n_files[lang][split] = n_files_per_split | |
| with open("n_shards.json", "w") as f: | |
| json.dump(dict(sorted(n_files.items(), key=lambda x: x[0])), f, ensure_ascii=False, indent=4) | |