Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training

This dataset includes complete transcriptions of real customer service calls across industries such as retail, banking, entertainment, and tech. Each entry reflects a real conversation between customers and support agents, enriched with summary text, metadata, and labeled sentiment. Dataset contents: - Full transcription of each call (e.g., “[Speaker System]: ...”) - Human-written summaries capturing key issues and resolutions - Company name and industry context - Call duration, timestamp, and caller location (city, state, country) - Sentiment classification: positive, neutral, or negative (optional) Use cases: -Train generative AI models on real-world customer interaction language - Detect churn, escalation, or resolution failure based on complaint narratives - Build summarization engines and QA dashboards using annotated summaries - Benchmark support performance across companies and industries - Structure training material for AI support agents, sentiment classifiers, or CX monitoring tools This dataset turns raw conversations into a valuable foundation for speech modeling, empathy training, and customer service innovation. The more you purchase, the lower the price will be.