preprocess_conversations.py

import csv

# Open sexting_conversations.txt and read all lines
with open('sexting_conversations.txt', 'r', encoding='utf-8') as f:
    lines = f.readlines()

# Initialize variables
data = []
text = ""
char_count = 0

# Loop through each line in the file
for line in lines:
    # Increase character count
    char_count += len(line)
    # Add line to text
    text += line
    # 92 is the avg character length per line multiplied by 2
    if char_count >= 92:
        # Add text to data array with is_toxic value of 1
        data.append([text.strip(), 1])
        # Reset text and character count
        text = ""
        char_count = 0

# If there is any remaining text, add it to data array with is_toxic value of 1
if text:
    data.append([text.strip(), 1])

# Save data array to CSV with column "text,is_toxic"
with open('output.csv', 'w', newline='', encoding='utf-8') as f:
    writer = csv.writer(f)
    writer.writerow(['text', 'is_toxic'])
    writer.writerows(data)