The Permission AI Prompt Dataset offers one of the most transparent and ethically sourced views into how real users interact with generative AI systems. Every record represents a genuine user-agent exchange collected under explicit consent, providing a rare look into how people formulate prompts, ask questions, and evaluate responses. This dataset is designed for developers, researchers, and AI trainers looking to understand natural human query structures, context chains, and feedback loops in multi-turn AI conversations.

Key Features

• 100% Human Verified: All data originates from real users interacting with AI systems through the Permission platform.

• Full Consent and Transparency: Every participant has granted explicit consent for data use and understands their contribution supports AI research and training.

• Global Diversity: Data covers a wide range of geographies, demographics, and use cases, ensuring varied linguistic, cultural, and topical representation.

• Structured and Clean: Each record includes standardized fields for conversation ID, message ID, role (user or agent), timestamp, and optional feedback metadata.

• Model and Context Tracking: Prompts are linked to the model used (e.g., Google Gemini, GPT-5, etc.), enabling benchmarking across AI systems.

• Feedback-Driven: Where available, user satisfaction ratings and notes are included to help refine quality models and reinforcement learning systems.