---
dataset_info:
  features:
  - name: messages
    list:
    - name: content
      dtype: string
    - name: role
      dtype: string
  splits:
  - name: train
    num_bytes: 57388561
    num_examples: 31716
  - name: test
    num_bytes: 3567957
    num_examples: 2000
  download_size: 30680634
  dataset_size: 60956518
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---

This is a version of the Enron Spam Email Dataset, containing emails (subject + message) in a chat format. I used to it train a small model for email classification for an n8n automation.

### The format
 {
            "role": "system",
            "content": "You are an expert email classification assistant. Your sole purpose is to classify emails into one of two categories: 'Spam' or 'Not Spam'. Respond only with the category name and nothing else."
        },
        {
            "role": "user",
            "content": f"Please classify the following email:\n\n---\n\nEmail Body:\n\n{email_body}"
        },
        {
            "role": "assistant",
            "content": label_text
        }