LLM RAG Chatbot Training Dataset
Designed to support next-gen AI agent builders.
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Train your conversational AI to detect time-wasters before they burn tokens. This human-verified micro dataset helps AI models identify disengagement, escalation, and Soft Exit / Hard Block scenarios. Ideal for companion AI & chatbot fine-tuning.
Hi and thanks for taking a look at our page.
We built this dataset because we had a need for clean, human-verified conversational datasets focused on time-waster detection and user disengagement patterns- so why not share what was useful for us with the world!
Most conversational AI datasets are synthetic or general-purpose.
This dataset is specifically designed to help AI builders train companion AI agents, chatbots, and LLM routing models to detect when a user is wasting tokens or about to churn.
What makes it unique?
>Real-world conversational patterns
>Soft Exit + Hard Block intervention labels pre-tagged
>Perfect micro dataset size for rapid fine-tuning + prototyping
We’re most proud that this gives indie AI builders, startups, and researchers access to specialized data they would struggle to find anywhere else.
It was designed from the ground up to be immediately useful for AI agent development.
Happy to answer any questions or suggestions. We’d love your feedback!