FredZhang7/all-scam-spam
This is a large corpus of 42,619 preprocessed text messages and emails sent by humans in 43 languages. is_spam=1 means spam and is_spam=0 means ham. 1040 rows of balanced data, consisting of casual conversations and scam emails in ≈10 languages, were manually collected and annotated by me, with some help from ChatGPT. Some preprcoessing algorithms spam_assassin.js, followed by spam_assassin.py enron_spam.py Data composition Description To… See the full description on the dataset page: https://huggingface.co/datasets/FredZhang7/all-scam-spam.
| Author / organization | FredZhang7 |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 351 (as reported by Hugging Face) |
| Likes | 15 |
| Created | 4 July 2023 |
| Last updated at source | 3 January 2025 |
Popularity, last 3 days
351 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: This is a large corpus of 42,619 preprocessed text messages and emails sent by humans in 43 languages. is_spam=1 means spam and is_spam=0 means ham. 1040 rows of balanced data, consisting of casual conversations and scam emails in ≈10 langu → This is a large corpus of 42,619 preprocessed text messages and emails sent by humans in 43 languages. is_spam=1 means spam and is_spam=0 means ham. 1040 rows of balanced data, consisting of casual conversations and scam emails in ≈10 langu
Changes detected by Silytics between refreshes of the source.
More from FredZhang7
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.