Datasets:

NbAiLab
/

norwegian_parliament

	import csv
	import json
	import argparse

	def convert_csv_to_jsonl(input_csv_path):
	# Generate the output file name by replacing .csv with .jsonl
	output_jsonl_path = input_csv_path.rsplit('.', 1)[0] + '.jsonl'

	# Open the input CSV file and the output JSON lines file
	with open(input_csv_path, mode='r', encoding='utf-8') as csv_file, \
	open(output_jsonl_path, mode='w', encoding='utf-8') as jsonl_file:

	# Create a CSV reader object to read the CSV file
	csv_reader = csv.reader(csv_file, delimiter=',')

	# Iterate over each row in the CSV file
	for row in csv_reader:
	# Each row should have exactly four columns: label, text, full_label, date
	if len(row) == 4:
	label, text, full_label, date = row
	# Create a dictionary to represent this record
	record = {
	'label': label,
	'text': text,
	'full_label': full_label,
	'date': date
	}
	# Convert the dictionary to a JSON string and write to the JSON lines file
	jsonl_file.write(json.dumps(record) + '\n')
	else:
	print(f"Skipping malformed row: {row}")

	def main():
	# Create argument parser
	parser = argparse.ArgumentParser(description="Convert CSV file to JSONL file.")
	# Add argument for input CSV file
	parser.add_argument("input_csv_path", type=str, help="Path to the input CSV file.")

	# Parse arguments
	args = parser.parse_args()

	# Convert CSV to JSONL using the provided input path
	convert_csv_to_jsonl(args.input_csv_path)

	if __name__ == "__main__":
	main()