forked from embeddings-benchmark/results
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathreduce_large_json_files.py
43 lines (33 loc) · 1.03 KB
/
reduce_large_json_files.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
import glob
import json
import os
from pathlib import Path
import mteb
def resize_flores():
"""
includes only relevant splits from the FloresBitextMining.json files
"""
paths = Path(__file__).parent.glob("**/FloresBitextMining.json")
for p in paths:
try:
res = mteb.MTEBResults.from_disk(p)
res.validate_and_filter_scores()
res.to_disk(p)
except Exception:
pass
def remove_spaces():
"""
removes spaces from the json files
"""
for file in glob.glob("results/*/*/*.json"):
# if the file is greater than 9 MB, compress it with gzip
if os.path.getsize(file) >= 9.5 * 1024 * 1024:
print(f"Resizing {file} to have no indentations")
# read it in as json and write it out with no indent
with open(file, "r") as f:
data = json.load(f)
with open(file, "w") as f:
json.dump(data, f, indent=None)
if __name__ == "__main__":
resize_flores()
remove_spaces()