Cross Model Response Comparison Dataset Construction

via “model behavior and response quality comparative analysis”

1M+ real user-AI conversations with demographic metadata.

Unique: Provides direct comparison of ChatGPT and GPT-4 behavior on identical user requests in production, capturing how model improvements manifest in real-world usage rather than controlled benchmarks. Includes user reactions and follow-up requests that reveal satisfaction and adaptation patterns.

vs others: More representative of real-world model comparison than synthetic benchmarks, but lacks explicit quality labels or user satisfaction metrics compared to explicitly annotated model evaluation datasets