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from langdetect import detect
import json
from tqdm import tqdm
from multiprocessing import Pool
input_file = "ass-pruned.jsonl"
output_file = "filtered-ass.jsonl"
def process_line(line):
try:
record = json.loads(line)
text = record.get("content", "")
if detect(text) == "en": # Keep only English
return json.dumps(record)
except Exception:
# If detection fails, skip the line
return None
def main():
with open(input_file, "r") as infile:
lines = infile.readlines()
# Use 8 workers, happy now?
num_workers = 8
with Pool(num_workers) as pool:
results = list(
tqdm(pool.imap(process_line, lines), desc="Filtering entries", total=len(lines))
)
# Write the filtered results back
with open(output_file, "w") as outfile:
for result in results:
if result: # Only write non-skipped lines
outfile.write(result + "\n")
if __name__ == "__main__":
main()