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CSDMC2010 SPAM corpus

This dataset consists of a series of email messages and serves as training and testing data. Because the dataset is used for a competition, the test set is unlabeled while only the training set is labeled. The training set contains 2,929 legitimate (ham) emails and 1,378 spam emails.

Updated 4/29/2024
github

Description

Dataset Overview

Dataset Name

Spam-Email-Classifier-DataSet

Original Dataset

CSDMC2010 SPAM corpus

Dataset Contents

  • Training Data: Includes 2,929 legitimate emails (ham) and 1,378 spam emails.
  • Test Data: Unlabeled.

Data Processing Tools

  • convert.py: Removes HTML tags from .eml files.
  • move.sh: Moves emails to "./ham/" and "./spam" folders according to their labels.

Output

  • ham.zip
  • spam.zip

Issues

Some meaningless symbols (e.g., < or >) remain in the files.

Suggestions for Improvement

Encourage proposals of suggestions and improvement measures.

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Topics

Spam Detection
Data Classification

Source

Organization: github

Created: 9/18/2016

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