Datasets:

NbAiLab
/

norwegian_parliament

	import csv
	import json
	import argparse

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

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

	# Create a CSV reader object to read the TSV file
	tsv_reader = csv.reader(tsv_file, delimiter='\t')

	# Iterate over each row in the TSV file
	for row in tsv_reader:
	# Each row should have exactly two columns: label and text
	if len(row) == 2:
	label, text = row
	# Create a dictionary to represent this record
	record = {'label': label, 'text': text}
	# 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 TSV file to JSONL file.")
	# Add argument for input TSV file
	parser.add_argument("input_tsv_path", type=str, help="Path to the input TSV file.")

	# Parse arguments
	args = parser.parse_args()

	# Convert TSV to JSONL using the provided input path
	convert_tsv_to_jsonl(args.input_tsv_path)

	if __name__ == "__main__":
	main()