Datasets:
| license: ecl-2.0 | |
| task_categories: | |
| - text-classification | |
| language: | |
| - en | |
| tags: | |
| - public | |
| - tabular | |
| - text | |
| - classification | |
| - education | |
| pretty_name: Spam Eail 5k5 | |
| size_categories: | |
| - 1K<n<10K | |
| configs: | |
| - config_name: dataset | |
| data_files: | |
| - split: train | |
| path: | |
| - "spam_emails_5k5.csv" | |
| # Spam Eail 5k5 | |
| Description | |
| SpamMail-Binary is a curated email corpus designed for training and evaluating spam-detection systems. Each record contains: | |
| - **Message** – full email text, including subject and body | |
| - **Category** – binary label: **Spam** or **Ham** (non-spam) | |
| The collection spans a diverse range of phishing attempts, promotional blasts, newsletters, and legitimate correspondence, offering clean, real-world language patterns for natural-language-processing and machine-learning tasks. |