Python script to filter "memorable" words from MRC Psycholinguistic Database

gistfile1.txt

from itertools import product

final_answer = set()

for a in open('mrc2.dct'):
    cols = a.split(' ', 1)
    b = list(cols[0])
    c = int(b[28] + b[29] + b[30]) # concreteness rating
    i = int(b[31] + b[32] + b[33]) # imagery rating
    f = int(b[25] + b[26] + b[27]) # familiarity rating
    m1 = int(b[34] + b[35] + b[36]) # meaningfulness rating #1
    m2 = int(b[37] + b[38] + b[39]) # meaningfulness rating #2
    try:
        word = cols[1][:-1].split(' ')[4].split('|')[0]
    except:
        word = ''
    if (f > 400 or i > 400 or m1 > 400 or m2 > 400) and word != '':
        final_answer.add(word)

z = sorted(final_answer)
k = 0
for n in product(range(1,7), repeat=5):
    print "".join(map(lambda x: str(x), n)), z[k]
    k = k + 1