extra/prepare_jsonl.py

#!/usr/bin/env python3
import pandas as pd
import json
import argparse

def convert_csv_to_jsonl(input_file, output_file):
    # Read with semicolon delimiter
    df = pd.read_csv(input_file, delimiter=";", encoding="utf-8")
    
    # Drop empty/unnamed columns
    df = df.drop(columns=[col for col in df.columns if "Unnamed" in col or col.strip() == ""], errors="ignore")

    # Strip leading/trailing spaces from column names
    df.columns = df.columns.str.strip()

    # Rename to desired schema
    df = df.rename(columns={
        "nob": "nb",
        "nno": "nn_original",
        "nb_nno": "nn_husnorm",
        "nob_url": "nb_source",
        "nno_url": "nn_source"
    })

    # Validate required fields
    required = ["nb", "nn_original", "nn_husnorm"]
    missing = [col for col in required if col not in df.columns]
    if missing:
        raise ValueError(f"Missing required columns: {missing}")

    # Write JSONL output
    with open(output_file, "w", encoding="utf-8") as out_file:
        for row in df.to_dict(orient="records"):
            json.dump(row, out_file, ensure_ascii=False)
            out_file.write("\n")

if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="Convert CSV to JSONL for nynorsk_norm_200eval")
    parser.add_argument("--input_file", required=True, help="Path to input CSV file")
    parser.add_argument("--output_file", required=True, help="Path to output JSONL file")
    args = parser.parse_args()

    convert_csv_to_jsonl(args.input_file, args.output_file)