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import os
import tarfile
import zipfile
import gzip
import traceback
import requests
from os.path import join as p_join
from tqdm import tqdm
from multiprocessing import Pool
from typing import Optional
from urllib3.connection import ConnectionError
import pandas as pd
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"
n_pool = 8
def wget(url: str, cache_dir: str, filename: Optional[str] = None):
os.makedirs(cache_dir, exist_ok=True)
filename = os.path.basename(url) if not filename else filename
output_file = p_join(cache_dir, filename)
try:
with open(output_file, "wb") as f:
r = requests.get(url)
f.write(r.content)
except ConnectionError or KeyboardInterrupt:
traceback.print_exc()
os.remove(output_file)
return False
if output_file.endswith('.tar.gz') or output_file.endswith('.tgz') or output_file.endswith('.tar'):
if output_file.endswith('.tar'):
tar = tarfile.open(output_file)
else:
tar = tarfile.open(output_file, "r:gz")
tar.extractall(cache_dir)
tar.close()
os.remove(output_file)
elif output_file.endswith('.gz'):
with gzip.open(output_file, 'rb') as f:
with open(output_file.replace('.gz', ''), 'wb') as f_write:
f_write.write(f.read())
os.remove(output_file)
elif output_file.endswith('.zip'):
with zipfile.ZipFile(output_file, 'r') as zip_ref:
zip_ref.extractall(cache_dir)
os.remove(output_file)
return True
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"]
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)
print(f"load metadata: {url_metadata}, ({len(df_metadata)} rows)")
inputs = [(
r['url'], f"{r['id']}.{r['direction']}.{r['side']}.{os.path.basename(r['url'])}"
) for _, r in df_metadata.iterrows()]
inputs = [x for x in inputs if not os.path.exists(p_join(cache_dir_root, "audio", x[1]))]
print(f"{len(inputs)} urls to download")
with Pool(n_pool) as pool:
pool.starmap(get_audio, tqdm(inputs, total=len(inputs)))
if __name__ == '__main__':
process_dataset(url_metadata_s2s)
process_dataset(url_metadata_s2t)
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