README.md

metadata

license: apache-2.0
language:
  - de
  - id
  - 'no'
  - hu
  - tl
  - cs
  - da
  - vi
  - nl
  - lv
  - tr
  - sl
  - af
  - sw
  - fi
  - cy
  - sq
  - hr
  - lt
  - et
  - en
  - fr
  - sv
  - it
  - so
  - es
  - bn
  - pl
  - ca
  - sk
  - pt
  - ro
task_categories:
  - text-classification
  - zero-shot-classification
tags:
  - nlp
size_categories:
  - 10K<n<100K

I have decided to release the auto-moderation models all at once sometime in July, 2023. The curated datasets for training these models will be avaliable first.

This is a large corpus of 41,578 preprocessed sms spam messages and emails sent by humans in 32 languages.

Some preprcoessing algorithms

• spam_assassin.js, followed by spam_assassin.py
• enron_spam.py

Data composition

Description

To make the text format between sms messages and emails consistent, email subjects and content are separated by two newlines:

text = email.subject + "\n\n" + email.content

Original source

• https://huggingface.co/datasets/sms_spam
• https://github.com/MWiechmann/enron_spam_data
• https://github.com/stdlib-js/datasets-spam-assassin
• https://repository.ortolang.fr/api/content/comere/v3.3/cmr-simuligne.html