license:apache-2.0 size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: apache-2.0
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Email Classification Dataset
Overview
This dataset contains 100 rows of simulated emails intended for training a text classification model. The model can classify emails into departments and determine the criticality of each email.

Columns:
Email: A string containing the email subject and body.
Department: An integer representing the department the email is associated with:
1: Catalogue Department
2: Integration Department
3: Sales Department
4: Onboarding Department
5: Support Department
6: Payment Department
Criticality: An integer representing the urgency of the email:
0: Non-Critical
1: Critical
2: Very Critical
Example Entries:
Email	Department	Criticality
subject : Need assistance with onboarding process. body : We need help setting up the onboarding for new employees.	1	1
subject : Update required for the catalogue. body : Can you update the catalogue with the new products?	1	2
subject : Payment processing problem. body : We need detailed information on your product offerings.	3	2
Usage:
This dataset can be used for training machine learning models to:

Classify emails into specific departments based on content.
Determine the urgency of the email (non-critical, critical, very critical).
Structure:
Emails: Simulated email subjects and bodies that provide context for classification.
Departments: Numerical values indicating which department the email should be assigned to.
Criticality: Numerical values indicating the urgency of the email.
