Sure! Here's a Python program that does what you're asking for:

import csv
from collections import defaultdict

# initialize a dictionary to store the count of requests per IP address
ip_count = defaultdict(int)

# open the csv file and read it row by row
with open('server_log.csv', 'r') as file:
    reader = csv.reader(file)
    for row in reader:
        ip = row[0]
        count = int(row[1])
        ip_count[ip] += count

# sort the dictionary by the number of requests
sorted_ips = sorted(ip_count.items(), key=lambda x: x[1], reverse=True)

# print the top 5 IP addresses
for i in range(5):
    ip, count = sorted_ips[i]
    print(f"{ip}: {count} requests")

This program assumes that the csv file is called server_log.csv and has a header row. If the file does not have a header row, you can remove the next(reader) line.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence