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Global Customer Service NLP Training Data
NLP / Natural Language Processing
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About
Email helpdesk tickets across multiple languages serve as a foundational resource for refining automated support systems. This collection captures the nuances of customer inquiries in German, English, Spanish, and French, providing a structured landscape for training and testing sophisticated models. By categorising messages into specific departments and assigning urgency levels, it enables the development of tools that streamline ticket routing and enhance response times in global service environments. The meticulous organisation of these records allows for an in-depth investigation into how technical and financial issues are communicated across different cultures and languages.
Columns
- queue: Specifies the department or support team to which the ticket is assigned, such as Software, Hardware, or Accounting.
- priority: A numerical ranking of urgency from 1 (Low) to 3 (Critical), used to manage workflows and highlight issues requiring immediate attention.
- software_used: Identifies the specific application involved in the customer's issue, such as Sales Forecasting tools or office suites.
- hardware_used: Documents the physical devices mentioned in the inquiry, like a wireless mouse or network hardware, to assist in troubleshooting.
- accounting_category: Provides a granular classification for financial tickets, distinguishing between technical issues, employee inquiries, and customer cancellations.
- language: A two-letter code indicating the language of the email text, supporting the training of language-specific or multilingual models.
- subject: A brief overview or headline of the customer's problem, useful for initial scanning and automated sorting.
- text: The full body of the email communication, providing the deep context necessary for semantic analysis and intent recognition.
Distribution
The records are provided in a CSV format titled
ticket_helpdesk_labeled_multi_languages_english_spain_french_german.csv. While the full archive contains over 8,000 rows, this preview distribution includes 200 randomly selected records with a total file size of 65.11 kB. The data maintains high integrity with a 100% validity rate across core fields and holds a maximum usability score of 10.00.Usage
This resource is ideal for training machine learning algorithms to automate the classification of support tickets into appropriate departments. It is well-suited for priority prediction tasks, ensuring that critical failures like system outages are flagged instantly. Additionally, the multilingual nature of the text makes it a valuable asset for cross-lingual natural language processing and customer sentiment analysis aimed at improving global service quality.
Coverage
The scope is international, spanning four major languages: English, German, French, and Spanish. It captures a diverse range of support scenarios across the Software, Hardware, and Accounting sectors. Although the data is provided as a static snapshot, it is updated monthly to remain relevant to current linguistic trends and common technical issues within the business world.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Natural language processing researchers can utilise the multi-language texts to benchmark the accuracy of text classification models. Customer support managers may use the patterns found in these records to design more efficient ticketing workflows and triage strategies. Furthermore, data science students can leverage the structured format to practice supervised learning and multi-label classification on authentic business data.
Dataset Name Suggestions
- Multilingual Helpdesk Ticket Classification Registry
- Cross-Lingual Support Ticket Prioritisation Set
- Global Customer Service NLP Training Data
- Automated Support Routing and Priority Archive
- Multilingual Software and Hardware Ticket Repository
Attributes
Original Data Source: Global Customer Service NLP Training Data
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