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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Create a dataset tailored to your own queues & priorities (no PII).
๐ Generate custom data
Need an on-prem AI to auto-classify tickets?
โ Open Ticket AI
Discover the new, expanded version of this dataset with 20,000 ticket entries! Perfect for training models to classify and prioritize support tickets. There are different files in this dataset, which all have different numbers of tickets, other languages, other queues.
It includes priorities, queues, types, tags, and business types. This preview offers a detailed structure with classifications by department, type, priority, language, subject, full email text, and agent answers.
| Field | Description | Values |
|---|---|---|
| ๐ Queue | Specifies the department to which the email ticket is routed | e.g. Technical Support, Customer Service, Billing and Payments, ... |
| ๐ฆ Priority | Indicates the urgency and importance of the issue | ๐ขLow ๐ Medium ๐ดCritical |
| ๐ฃ๏ธ Language | Indicates the language in which the email is written | EN, DE, ES, FR, PT |
| Subject | Subject of the customer's email | |
| Body | Body of the customer's email | |
| Answer | The response provided by the helpdesk agent | |
| Type | The type of ticket as picked by the agent | e.g. Incident, Request, Problem, Change ... |
| ๐ข Business Type | The business type of the support helpdesk | e.g. Tech Online Store, IT Services, Software Development Company |
| Tags | Tags/categories assigned to the ticket, split into ten columns in the dataset | e.g. "Software Bug", "Warranty Claim" |
Specifies the department to which the email ticket is categorized. This helps in routing the ticket to the appropriate support team for resolution. - ๐ป Technical Support: Technical issues and support requests. - ๐๏ธ Customer Service: Customer inquiries and service requests. - ๐ฐ Billing and Payments: Billing issues and payment processing. - ๐ฅ๏ธ Product Support: Support for product-related issues. - ๐ IT Support: Internal IT support and infrastructure issues. - ๐ Returns and Exchanges: Product returns and exchanges. - ๐ Sales and Pre-Sales: Sales inquiries and pre-sales questions. - ๐งโ๐ป Human Resources: Employee inquiries and HR-related issues. - โ Service Outages and Maintenance: Service interruptions and maintenance. - ๐ฎ General Inquiry: General inquiries and information requests.
Indicates the urgency and importance of the issue. Helps in managing the workflow by prioritizing tickets that need immediate attention. - ๐ข 1 (Low): Non-urgent issues that do not require immediate attention. Examples: general inquiries, minor inconveniences, routine updates, and feature requests. - ๐ **2 (...
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Featuring Labeled Customer Emails and Support Responses
๐ง Synthetic IT Ticket Generator โ Custom Dataset
Create a dataset tailored to your own queues & priorities (no PII). ๐ Generate custom data
Define your queues, priorities, language
Need an on-prem AI to auto-classify tickets?โ Open Ticket AI There are 2 Versions of the dataset, the new version has more tickets, but only languages english and german. So please look at both files, to find what best fits your needs.โฆ See the full description on the dataset page: https://huggingface.co/datasets/Tobi-Bueck/customer-support-tickets.
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Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Create a dataset tailored to your own queues & priorities (no PII).
๐ Generate custom data
Need an on-prem AI to auto-classify tickets?
โ Open Ticket AI
Discover the new, expanded version of this dataset with 20,000 ticket entries! Perfect for training models to classify and prioritize support tickets. There are different files in this dataset, which all have different numbers of tickets, other languages, other queues.
It includes priorities, queues, types, tags, and business types. This preview offers a detailed structure with classifications by department, type, priority, language, subject, full email text, and agent answers.
| Field | Description | Values |
|---|---|---|
| ๐ Queue | Specifies the department to which the email ticket is routed | e.g. Technical Support, Customer Service, Billing and Payments, ... |
| ๐ฆ Priority | Indicates the urgency and importance of the issue | ๐ขLow ๐ Medium ๐ดCritical |
| ๐ฃ๏ธ Language | Indicates the language in which the email is written | EN, DE, ES, FR, PT |
| Subject | Subject of the customer's email | |
| Body | Body of the customer's email | |
| Answer | The response provided by the helpdesk agent | |
| Type | The type of ticket as picked by the agent | e.g. Incident, Request, Problem, Change ... |
| ๐ข Business Type | The business type of the support helpdesk | e.g. Tech Online Store, IT Services, Software Development Company |
| Tags | Tags/categories assigned to the ticket, split into ten columns in the dataset | e.g. "Software Bug", "Warranty Claim" |
Specifies the department to which the email ticket is categorized. This helps in routing the ticket to the appropriate support team for resolution. - ๐ป Technical Support: Technical issues and support requests. - ๐๏ธ Customer Service: Customer inquiries and service requests. - ๐ฐ Billing and Payments: Billing issues and payment processing. - ๐ฅ๏ธ Product Support: Support for product-related issues. - ๐ IT Support: Internal IT support and infrastructure issues. - ๐ Returns and Exchanges: Product returns and exchanges. - ๐ Sales and Pre-Sales: Sales inquiries and pre-sales questions. - ๐งโ๐ป Human Resources: Employee inquiries and HR-related issues. - โ Service Outages and Maintenance: Service interruptions and maintenance. - ๐ฎ General Inquiry: General inquiries and information requests.
Indicates the urgency and importance of the issue. Helps in managing the workflow by prioritizing tickets that need immediate attention. - ๐ข 1 (Low): Non-urgent issues that do not require immediate attention. Examples: general inquiries, minor inconveniences, routine updates, and feature requests. - ๐ **2 (...