pakkinlau's picture
> Make dataset viewer‑ready: preview/dev Parquet, scripts, README, .gitignore
650d06b
#!/usr/bin/env python3
"""
Convert a JSONL file (records per line) to Parquet with a stable schema.
Usage:
python scripts/jsonl_to_parquet.py manifests/preview.jsonl manifests/preview.parquet
python scripts/jsonl_to_parquet.py manifests/dev.jsonl manifests/dev.parquet
Requires: pandas + pyarrow
"""
import argparse
import json
from pathlib import Path
import pandas as pd
def main():
ap = argparse.ArgumentParser()
ap.add_argument("src", type=Path)
ap.add_argument("dst", type=Path)
args = ap.parse_args()
records = []
with args.src.open("r", encoding="utf-8") as f:
for line in f:
if not line.strip():
continue
records.append(json.loads(line))
# Use pandas to write parquet; let pyarrow infer nested lists
df = pd.DataFrame.from_records(records)
args.dst.parent.mkdir(parents=True, exist_ok=True)
df.to_parquet(args.dst, index=False)
print(f"Wrote {args.dst}")
if __name__ == "__main__":
main()