init
Browse files- download_audio.py +4 -7
download_audio.py
CHANGED
@@ -1,6 +1,3 @@
|
|
1 |
-
"""
|
2 |
-
https://stackoverflow.com/questions/31353244/how-to-config-wget-to-retry-more-than-20
|
3 |
-
"""
|
4 |
import json
|
5 |
import os
|
6 |
import tarfile
|
@@ -10,7 +7,7 @@ import subprocess
|
|
10 |
from os.path import join as p_join
|
11 |
from tqdm import tqdm
|
12 |
from multiprocessing import Pool
|
13 |
-
from typing import Optional
|
14 |
|
15 |
import pandas as pd
|
16 |
|
@@ -59,10 +56,10 @@ def wget(url: str, cache_dir: str, filename: Optional[str] = None):
|
|
59 |
def get_metadata():
|
60 |
url_metadata = url_metadata_dict[direction]
|
61 |
meta_data_filename = os.path.basename(url_metadata).replace(".gz", "")
|
62 |
-
cache_dir_metadata = p_join("download", "meta"
|
63 |
-
if not os.path.exists(cache_dir_metadata):
|
64 |
assert wget(url_metadata, cache_dir=cache_dir_metadata)
|
65 |
-
df = pd.read_csv(meta_data_filename, sep=r'[\t\s]', header=None)[[0, 2, 6, 9, 10, 11, 12]]
|
66 |
df.columns = ["id", "url", "text_lid_score", "laser_score", "direction", "side", "line_no"]
|
67 |
assert len(df["direction"].unique()) == 1
|
68 |
df.pop("direction")
|
|
|
|
|
|
|
|
|
1 |
import json
|
2 |
import os
|
3 |
import tarfile
|
|
|
7 |
from os.path import join as p_join
|
8 |
from tqdm import tqdm
|
9 |
from multiprocessing import Pool
|
10 |
+
from typing import Optional
|
11 |
|
12 |
import pandas as pd
|
13 |
|
|
|
56 |
def get_metadata():
|
57 |
url_metadata = url_metadata_dict[direction]
|
58 |
meta_data_filename = os.path.basename(url_metadata).replace(".gz", "")
|
59 |
+
cache_dir_metadata = p_join("download", "meta")
|
60 |
+
if not os.path.exists(p_join(cache_dir_metadata, meta_data_filename)):
|
61 |
assert wget(url_metadata, cache_dir=cache_dir_metadata)
|
62 |
+
df = pd.read_csv(p_join(cache_dir_metadata, meta_data_filename), sep=r'[\t\s]', header=None)[[0, 2, 6, 9, 10, 11, 12]]
|
63 |
df.columns = ["id", "url", "text_lid_score", "laser_score", "direction", "side", "line_no"]
|
64 |
assert len(df["direction"].unique()) == 1
|
65 |
df.pop("direction")
|