Introduction
The Danish Delivery & Logistics Chat Dataset is a comprehensive collection of over 10,000 text-based conversations between customers and call center agents. Focused on real-world delivery and logistics interactions, this dataset captures the language, tone, and service patterns essential for developing robust Danish-language conversational AI, chatbots, and NLP systems across the delivery ecosystem.
Participant & Chat Overview
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Participants:
150+ native Danish speakers from the FutureBeeAI Crowd Community
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Conversation Length:
300–700 words per chat
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Turns per Chat:
50–150 dialogue turns between customer and agent
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Chat Types:
Inbound (customer-initiated) and outbound (agent-initiated)
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Sentiment Coverage:
Includes positive, neutral, and negative interaction outcomes
Topic Diversity
The dataset spans a wide range of delivery and logistics scenarios, ensuring strong coverage across customer service and operational workflows.
•Order tracking and delivery status inquiries
•Complaints about late or missing deliveries
•Undeliverable or incorrect address resolution
•Return process and pickup scheduling
•Order modifications and change requests
•Enquiries about delivery method options
•Delivery confirmations and dispatch updates
•Subscription renewal or delivery reminders
•Notification of delivery issues or missed attempts
•Out-of-stock or product unavailability alerts
•Satisfaction surveys and service feedback collection
•Address verification for upcoming deliveries
This topical spread ensures wide applicability in both customer support automation and logistics optimization use cases.
Language Diversity & Realism
The conversations reflect the authentic language and interaction style of Danish-speaking customers and delivery agents, incorporating:
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Naming Patterns:
Personal names, business names, and logistics company references
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Localized Details:
Danish-format emails, phone numbers, regional addresses, and delivery zones
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Temporal and Numeric Expressions:
Dates, delivery windows, prices, and tracking IDs in Danish formats
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Slang and Informal Speech:
Everyday expressions and delivery-specific idioms used across Danish dialects
This linguistic realism enables the development of context-aware and naturally responsive AI systems.
Conversational Structure & Flow
The dataset captures a diverse range of interaction types and delivery workflows:
•Quick status checks and confirmations
•Multi-turn issue resolution
•Process walkthroughs and guidance
•Feedback and escalation handling
•Greetings and caller verification
•Request or complaint initiation
•Status lookup and information sharing
•Resolution or next-step clarification
•Follow-ups, confirmations, and closing
This structure supports training of intelligent dialogue systems that can manage dynamic, task-oriented conversations in logistics contexts.
Data Format & Structure
The dataset is available in TXT, CSV, and JSON formats. Each conversation includes:
•Turn-based speaker labeling
•Anonymized participant identifiers
•Optional metadata: topic tags, sentiment labels, regional markers
The structure is optimized for compatibility with standard NLP pipelines and frameworks.
Applications
This dataset supports a wide range of Danish-language delivery and logistics AI use cases, including:
•Delivery Assistant Chatbots
•Logistics-Focused NLP Model Training
•Automated Complaint Handling
•Intent Classification and Routing
•Named Entity Recognition (dates, addresses, phone numbers)
•Text Summarization and Response Generation
•Voicebot and Speech-to-Text Training for Delivery Services
Secure and Ethical Collection
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Informed Consent:
All participants contributed voluntarily with proper consent
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Privacy Compliant:
No personally identifiable information (PII) is included
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Secure Infrastructure:
Data collection and storage occurred entirely within FutureBeeAI’s secure platform
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Ethical Compliance:
Aligned with responsible AI practices and data protection regulations
Updates & Customization
The dataset is actively maintained and can be customized to fit domain-specific needs:
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Custom Annotations:
Add NER, sentiment, intent, or task-specific labels
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Topic Expansion:
Collect chats related to warehouse logistics, last-mile tracking, or subscription delivery services
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Regional Variants:
Danish dialect-specific versions for GCC, North Africa, and Levant regions
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Multilingual Options:
Equivalent data available in English, French, and other languages on request
Licensing
This dataset is developed and owned by FutureBeeAI and is available under commercial licensing. Flexible terms are available for enterprise, research, and startup use.
