process_finance.py

import json

filtered_data = []

# Load the JSON file content as a single string
with open('/home/yiyangai/stephenqs/datasets/wikihow/WikihowText_data.json', 'r', encoding='utf-8') as f:
    content = f.read()

# Split the content into individual JSON objects
json_objects = content.splitlines()

# Process each JSON object individually
for obj in json_objects:
    try:
        item = json.loads(obj.strip())
        if item.get("category_hierarchy") and item["category_hierarchy"][0] == "Finance and Business":
            filtered_data.append(item)
    except json.JSONDecodeError as e:
        print(f"Skipping invalid JSON object: {e}")

# Save the filtered data to a new JSON file
with open('Arts and Entertainment.json', 'w', encoding='utf-8') as f:
    json.dump(filtered_data, f, ensure_ascii=False, indent=4)

print(f"{len(filtered_data)} items extracted to 'output.json'")