TADHack vCon
Conversation Set
For this year's TADHack vCon Hackathon, we've generated a set of synthetic vCons for your use:
You can download the set at https://github.com/vcon-dev/tadhack-2025
An S3 Bucket is here: arn:aws:s3:::tadhack-vcons
Overview
This dataset contains customer service conversation data from Aquidneck Yacht Brokers in VCON (Virtual Call Object Notation) format. The conversations span from May 18-24, 2025, and represent typical customer interactions for a yacht brokerage company. The dataset includes 42 customer service calls between Aquidneck Yacht Brokers agents and customers, covering various marine industry-specific support scenarios.
Conversation Types
1. Returns & Refunds
Customers requesting returns for yacht equipment
Processing refund requests
Emotional customers (often expressing sadness about returns)
2. Shipping & Logistics
Yacht transportation inquiries (e.g., Fort Lauderdale to Newport)
Delivery status updates
Shipping cost questions
3. Order Issues
Wrong items received (e.g., yacht anchor instead of navigation system)
Missing order investigations
Order verification and corrections
4. Equipment Support
GPS malfunction troubleshooting
Navigation system issues
Equipment compatibility questions
5. Business Services
Yacht listing inquiries
Brokerage service questions
Pricing and commission discussions
6. Account Management
Membership cancellations
Billing inquiries
Privacy and data concerns
Contact information updates
7. Appointments & Scheduling
Yacht viewing appointments
Service scheduling
Consultation bookings
Call Characteristics
Average Duration: 50-60 seconds
Call Disposition: All marked as "ANSWERED" with "VM Left" status
Language: English
Transcription Confidence: 99%
Professional Tone: Agents maintain consistent, helpful demeanor
Resolution Rate: Most issues resolved or appropriately escalated
Data Format
Each conversation includes:
Audio recording (MP3 format)
Full transcript with speaker diarization
AI-generated summary
Participant metadata (names, roles, contact info)
Call metadata (duration, timestamp, disposition)
Typical Interaction Flow
Agent greeting with company name and agent introduction
Customer name verification
Issue description by customer
Information gathering (order numbers, email verification)
Resolution or escalation
Professional closing
Notable Patterns
Customers frequently express emotions related to their issues
Agents consistently follow verification protocols
Marine industry-specific terminology used throughout
Focus on high-value transactions typical of yacht brokerage
This dataset provides realistic examples of customer service interactions in the luxury marine industry, useful for training, analysis, or demonstration purposes.
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