Datasets:
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
- multilingual
task_categories:
- text-classification
- zero-shot-classification
tags:
- nlp
- moderation
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 messages and emails sent by humans in 33 languages. is_spam=1 means spam and is_spam=0 means ham.
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