import csv

# This script transforms categorical labels to integer
# Define the mapping
mapping = {
    'information': '0',
    'cuisine': '1',
    'directions': '2',
    'reservations': '3',
    'open_hours': '4',
    'rating': '5'
}

# Open the input file in read mode and output file in write mode
with open('train-intent-dataset-categorical.csv', 'r') as infile, open('output.csv', 'w', newline='') as outfile:
    # Create a CSV reader and writer
    reader = csv.reader(infile)
    writer = csv.writer(outfile)

    # Iterate over each row in the input CSV
    for row in reader:
        # If the first column value is in the mapping, replace it
        if row[0] in mapping:
            row[0] = mapping[row[0]]

        # Write the row to the output CSV
        writer.writerow(row)