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--- |
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dataset_info: |
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features: |
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- name: messages |
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list: |
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- name: content |
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dtype: string |
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- name: role |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 57388561 |
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num_examples: 31716 |
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|
- name: test |
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|
num_bytes: 3567957 |
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num_examples: 2000 |
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|
download_size: 30680634 |
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dataset_size: 60956518 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: test |
|
|
path: data/test-* |
|
|
--- |
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|
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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. |
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### The format |
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{ |
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"role": "system", |
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|
"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." |
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}, |
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{ |
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|
"role": "user", |
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|
"content": f"Please classify the following email:\n\n---\n\nEmail Body:\n\n{email_body}" |
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}, |
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{ |
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"role": "assistant", |
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"content": label_text |
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} |
