# -*- coding: utf-8 -*-

from queue import Queue
import sys
import subprocess
import json
import time
import math
import re
#import sqlite3
import random
#import numpy as np
#from sklearn.datasets import fetch_mldata
#from statistics import mean, median, variance, stdev
#from chainer import cuda, Variable, FunctionSet, optimizers
#import chainer.functions as F

N = int(input())
dic = {}
for i in range(N):
    No = int(input())
    M, S = map(int, input().split())
    Tag = list(input().split())
    for s in Tag:
        if (not s in dic): dic[s] = 0
        dic[s] += S

list1 = [s for s in dic]
list1.sort()
list1.sort(key=lambda x: dic[x], reverse=True)
for i in range( min(10, len(list1)) ):
    s = list1[i]
    print(s, dic[s])