File size: 903 Bytes
268f788 8472d60 5516d69 8472d60 5516d69 27bb1fd 8472d60 268f788 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
from collections import defaultdict
from datasets import load_dataset, DownloadMode
dataset_dict = load_dataset(
"../../spam_detect.py",
# name="enron_spam",
# name="enron_spam_subset",
# name="ling_spam",
# name="sms_spam",
# name="spam_assassin",
# name="spam_detection",
# name="sms_spam_collection",
# name="spam_message",
# name="spam_message_lr",
name="trec07p",
# name="youtube_spam_collection",
split=None,
cache_dir=None,
download_mode=DownloadMode.FORCE_REDOWNLOAD
)
counter = defaultdict(int)
for split, dataset in dataset_dict.items():
for sample in dataset:
text = sample["text"]
label = sample["label"]
counter[label] += 1
count = "; ".join(sorted(["{}: {}".format(k, v) for k, v in counter.items()]))
print(count)
if __name__ == '__main__':
pass
|