Conversational AI Training Dataset
Large-scale annotation of customer service conversations, chat logs, and voice recordings to train intent classification, entity extraction, and sentiment analysis models for conversational AI platform.
The Challenge
Needed to annotate 1 million+ customer conversations across 12 languages with complex intent hierarchies, nested entities, and contextual sentiment. Annotations required understanding domain-specific terminology, handling code-switching, and maintaining consistency across languages.
Our Solution
Assembled multilingual annotation team of 80 linguists with customer service domain expertise. Developed comprehensive annotation schema covering 150+ intents and 45 entity types. Implemented inter-annotator agreement monitoring and continuous guideline refinement achieving 0.87 Cohen's Kappa.
Project Specifications
Data Volume
1.2M conversations, 15K audio hours
Team Size
80 multilingual linguists
Duration
5 months
Accuracy
94.5%
Annotation Types
Tools & Technologies
Deliverables
Sample Annotations
Intent Hierarchies
Multi-level intent classification covering customer inquiries, complaints, requests, and feedback
Entity Extraction
Precise span annotation for dates, locations, product names, order IDs, and custom domain entities
Sentiment & Emotion
Fine-grained sentiment scoring with emotion detection (frustrated, satisfied, confused, etc.)
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