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--- |
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license: apache-2.0 |
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language: |
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- de |
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- id |
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- 'no' |
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- hu |
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- tl |
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- cs |
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- da |
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- vi |
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- nl |
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- lv |
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- tr |
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- sl |
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- af |
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- sw |
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- fi |
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- cy |
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- sq |
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- hr |
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- lt |
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- et |
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- en |
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- fr |
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- sv |
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- it |
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- so |
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- es |
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- bn |
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- pl |
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- ca |
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- sk |
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- pt |
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- ro |
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task_categories: |
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- text-classification |
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- zero-shot-classification |
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tags: |
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- nlp |
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size_categories: |
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- 10K<n<100K |
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--- |
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**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.** |
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<br> |
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This is a large corpus of 41,578 preprocessed sms spam messages and emails sent by humans in 32 languages. |
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<br> |
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### Some preprcoessing algorithms |
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- [spam_assassin.js](./spam_assassin.js), followed by [spam_assassin.py](./spam_assassin.py) |
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- [enron_spam.py](./enron_spam.py) |
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<br> |
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### Data composition |
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<br> |
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### Description |
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To make the text format between sms messages and emails consistent, email subjects and content are separated by two newlines: |
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```python |
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text = email.subject + "\n\n" + email.content |
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``` |
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<br> |
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### Original source |
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- https://huggingface.co/datasets/sms_spam |
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- https://github.com/MWiechmann/enron_spam_data |
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- https://github.com/stdlib-js/datasets-spam-assassin |
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- https://repository.ortolang.fr/api/content/comere/v3.3/cmr-simuligne.html |
