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add description

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@@ -50,19 +50,22 @@ This is a large corpus of 41,578 preprocessed sms spam messages and emails sent
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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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  ![](./spam_counts.png)
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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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  <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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+ ## Data composition
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  ![](./spam_counts.png)
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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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+ ## 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