Datasets:
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update descriptions
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README.md
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license: apache-2.0
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language:
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- cy
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- sq
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- bn
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- multilingual
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task_categories:
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- text-classification
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<br>
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This is a large corpus of
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### Data composition
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![Spam vs Non-spam (Ham)](https://i.imgur.com/
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###
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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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---
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license: apache-2.0
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language:
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- no
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- es
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- so
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- ca
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- af
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- hi
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- ar
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- en
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- bg
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- ja
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- bn
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- ro
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- ne
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- sw
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- ru
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- multilingual
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task_categories:
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- text-classification
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<br>
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This is a large corpus of 42,619 preprocessed text messages and emails sent by humans in 42 languages. `is_spam=1` means spam and `is_spam=0` means ham.
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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.
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<br>
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<br>
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### Data composition
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<br>
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<br>
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### Other Sources
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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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