Phishing validation emails dataset

<p><strong>Description</strong>:<br>This dataset contains a collection of 2,000 emails, specifically curated for the purpose of validating machine learning models designed to differentiate between safe emails and phishing attempts. The dataset is a mix of real-world email samples and artificially generated emails, ensuring a comprehensive reflection of realistic email scenarios.</p> <p>Each entry in the dataset includes the full text of an email and a corresponding label that categorizes the email as either 'Safe Email' or 'Phishing Email.' This dataset is intended for use in validating the performance of models after they have been trained, providing a crucial step in ensuring the model's accuracy and reliability before deployment.<br><br></p> <p><strong>Dataset Structure</strong>:</p> <ul> <li><strong>Total Emails</strong>: 2,000</li> <li><strong>Email Types</strong>: <ul> <li>Safe Emails</li> <li>Phishing Emails</li> </ul> </li> <li><strong>Attributes</strong>: <ul> <li>Full text of the email</li> <li>Label indicating whether the email is safe or phishing</li> </ul> </li> </ul> <p><strong>Example Entries</strong>:</p> <ol> <li><strong>Email Text</strong>: "Dear Jordan, your subscription has been succes..." <ul> <li><strong>Email Type</strong>: Safe Email</li> </ul> </li> <li><strong>Email Text</strong>: "Congratulations! You've won a $3000 gift card...." <ul> <li><strong>Email Type</strong>: Phishing Email</li> <li>&nbsp;</li> </ul> </li> </ol> <p><strong><span>Acknowledgments</span></strong></p> <p>The authors would like to thank Sofia Tech Park and the Artificial intelligence and CAD systems laboratory for their assistance and support in conducting this research.</p>