| import os | |
| from os.path import join as p_join | |
| import pandas as pd | |
| from tqdm import tqdm | |
| from util import wget | |
| url_metadata_s2s = "https://dl.fbaipublicfiles.com/seamless/data/seamless_align_nov2023_extension/seamless.dataset.metadata.public.enA-jaA.tsv.gz" | |
| url_metadata_s2t = "https://dl.fbaipublicfiles.com/seamless/data/seamless.dataset.metadata.public.enA-jpn.withduration.tsv.gz" | |
| cache_dir_root = "./download" | |
| def get_metadata(url: str): | |
| cache_dir = p_join(cache_dir_root, "meta") | |
| filename = os.path.basename(url).replace(".gz", "") | |
| if not os.path.exists(filename): | |
| assert wget(url, cache_dir=cache_dir) | |
| df = pd.read_csv(p_join(cache_dir, filename), sep=r'[\t\s]', header=None)[[0, 2, 6, 9, 10, 11, 12]] | |
| df.columns = ["id", "url", "text_lid_score", "laser_score", "direction", "side", "line_no"] | |
| print(f"load metadata: {filename}, ({len(df)} rows)") | |
| return df | |
| def get_audio(url: str, filename: str): | |
| cache_dir = p_join(cache_dir_root, "audio") | |
| if not os.path.exists(p_join(cache_dir, filename)): | |
| return wget(url, filename=filename, cache_dir=cache_dir) | |
| return False | |
| def process_dataset(url_metadata): | |
| df_metadata = get_metadata(url_metadata) | |
| num_missing_files = 0 | |
| for _, row in tqdm(df_metadata.iterrows(), total=len(df_metadata)): | |
| filename = f"{row['direction']}.{row['side']}.{os.path.basename(row['url'])}" | |
| num_missing_files += not get_audio(row['url'], filename) | |
| print(f"missing files: {num_missing_files}/{len(df_metadata)}") | |
| if __name__ == '__main__': | |
| process_dataset(url_metadata_s2s) | |
| process_dataset(url_metadata_s2t) | |