Datasets:

Modalities:
Text
Formats:
json
Libraries:
Datasets
pandas
License:
Per Egil Kummervold
new test
0c6c610
raw
history blame contribute delete
580 Bytes
import json
from pathlib import Path
KEEP_KEYS = {"id", "nb", "nn"}
input_dir = Path(".")
output_dir = Path("cleaned_minimal")
output_dir.mkdir(exist_ok=True)
for path in input_dir.glob("*.jsonl"):
out_path = output_dir / path.name
with path.open("r", encoding="utf-8") as fin, out_path.open("w", encoding="utf-8") as fout:
for line in fin:
obj = json.loads(line)
filtered = {k: v for k, v in obj.items() if k in KEEP_KEYS}
fout.write(json.dumps(filtered, ensure_ascii=False) + "\n")
print(f"[✓] Stripped {path.name}")