Datasets:
File size: 1,611 Bytes
de21c1d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | import csv
import json
def convert_csv_to_json_simple(csv_file_path, json_file_path):
"""
Converts a CSV file to a JSON file, keeping the problem description as a single text block.
"""
problems = []
with open(csv_file_path, mode='r', encoding='utf-8') as csv_file:
csv_reader = csv.DictReader(csv_file)
for row in csv_reader:
# Clean up keys from the CSV header
cleaned_row = {key.strip().replace(' ', '_').replace('.', ''): value for key, value in row.items()}
problem_data = {
's_no': int(cleaned_row.get('SNo', 0)),
'organization': cleaned_row.get('Organization', ''),
'title': cleaned_row.get('Problem_Statement_Title', ''),
'category': cleaned_row.get('Category', ''),
'ps_number': cleaned_row.get('PS_Number', ''),
'submitted_ideas_count': int(cleaned_row.get('Submitted_Ideas_Count', 0)),
'theme': cleaned_row.get('Theme', ''),
'problem_description': cleaned_row.get('Problem_Description', '').strip()
}
problems.append(problem_data)
with open(json_file_path, mode='w', encoding='utf-8') as json_file:
json.dump({"problems": problems}, json_file, indent=4)
if __name__ == '__main__':
csv_input_file = 'SIH_Problem_Statements.csv'
json_output_file = 'SIH_Problem_Statements.json'
convert_csv_to_json_simple(csv_input_file, json_output_file)
print(f"Successfully converted '{csv_input_file}' to '{json_output_file}'")
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