metadata
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 }