README.md

metadata

dataset_info:
  features:
    - name: content
      dtype: string
    - name: label
      dtype: int64
  splits:
    - name: train
      num_bytes: 47241927
      num_examples: 120000
    - name: validation
      num_bytes: 5052323
      num_examples: 20000
    - name: test
      num_bytes: 14856442
      num_examples: 60000
  download_size: 40289388
  dataset_size: 67150692
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

PhishingEmailDetectionv2.0 Dataset

A comprehensive dataset combining email messages and URLs for phishing detection.

Dataset Overview

Quick Facts

• Task Type: Multi-class Classification
• Languages: English
• Total Samples: 200,000 entries
• Size Split:
  • Email samples: 22,644
  • URL samples: 177,356
• Label Distribution: Four classes (0, 1, 2, 3)
• Format: Two columns - content and labels

Dataset Structure

Features

{
    'content': Value(dtype='string', description='The text content - either email body or URL'),
    'labels': ClassLabel(num_classes=4, names=[
        'legitimate_email',    # 0
        'phishing_email',       # 1
        'legitimate_url',     # 2
        'phishing_url'    # 3
    ], description='Multi-class label for content classification')
}