correct values for 'label' field and total for 'N'-labels

[dmitris]

After loading the secrebench.csv in R (sb <- read_csv("secretbench.csv")), I'm seeing the following stats on the label column:

> table(sb$label)

    N     Y 
82393 15086 

The total 82393+15086=97479 is the same as in the README, but the number of "fake/dummy" secrets is, I believe, off by 2. Also, README says that the values for the label column are True and False whereas the dataset contains Y and N.

Double-checking with a short Python program:

#!/usr/bin/env python3

import csv

cnts = {}
with open('secretbench.csv') as f:
    reader = csv.DictReader(f)
    for row in reader:
        cnts[row['label']] = cnts.get(row['label'], 0) + 1
for k, v in cnts.items():
    print(k, v)

which prints:

N 82393
Y 15086

This is the checksum and wc counts on the secretbench.csv file that I'm using:

$ sha256sum secretbench.csv && wc secretbench.csv
70e4f3faa30df37cfcf002cbcdc1c56c55917f2326854e807312dd531f360486  secretbench.csv
  167067  449224 45990860 secretbench.csv